Pull request #4085 updated Connecting to https://api.github.com using GitHub Access Token Connecting to https://api.github.com to check permissions of obtain list of wangbingnan136 for dmlc/dgl Loading trusted files from base branch master at 31e4a89b2327939089f97ed0b33f1924369ce11d rather than c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Obtained Jenkinsfile from 31e4a89b2327939089f97ed0b33f1924369ce11d [Pipeline] Start of Pipeline [Pipeline] node Running on dgl-manual-cpu-worker in /home/ubuntu/jenkins_new/workspace/dgl_PR-4085 [Pipeline] { [Pipeline] stage [Pipeline] { (Declarative: Checkout SCM) [Pipeline] checkout The recommended git tool is: git using credential github Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Merge succeeded, producing c1fc01630317dcce665546527e0bebe54f1afea3 Checking out Revision c1fc01630317dcce665546527e0bebe54f1afea3 (PR-4085) Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace [Pipeline] } [Pipeline] // stage [Pipeline] withEnv [Pipeline] { [Pipeline] stage [Pipeline] { (Regression Test Trigger) > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_new/workspace/dgl_PR-4085/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c1fc01630317dcce665546527e0bebe54f1afea3 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 c1fc01630317dcce665546527e0bebe54f1afea3 # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # timeout=10 > 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-4085 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Merge succeeded, producing a345ef3e720e610c7cc556275f480afa3ea08e9d Checking out Revision a345ef3e720e610c7cc556275f480afa3ea08e9d (PR-4085) Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir /var/jenkins/workspace/dgl_PR-4085/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.7.4' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a345ef3e720e610c7cc556275f480afa3ea08e9d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 a345ef3e720e610c7cc556275f480afa3ea08e9d # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-lint Using default tag: latest latest: Pulling from dgllib/dgl-ci-lint Digest: sha256:11b87b4425630143a2560fe6ad584f245ee0a86bc58b40cda3c2be93656b0d5e Status: Image is up to date for dgllib/dgl-ci-lint:latest docker.io/dgllib/dgl-ci-lint:latest [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-lint . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgci-worker-permanent does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /var/jenkins/workspace/dgl_PR-4085 -v /var/jenkins/workspace/dgl_PR-4085:/var/jenkins/workspace/dgl_PR-4085:rw,z -v /var/jenkins/workspace/dgl_PR-4085@tmp:/var/jenkins/workspace/dgl_PR-4085@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 2b5684c3a8bff35bb3fee2512ec460b31a0641327202700cb4167012f4008765 -eo pid,comm [Pipeline] { [Pipeline] } $ docker stop --time=1 2b5684c3a8bff35bb3fee2512ec460b31a0641327202700cb4167012f4008765 $ docker rm -f 2b5684c3a8bff35bb3fee2512ec460b31a0641327202700cb4167012f4008765 [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-4085 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Merge succeeded, producing a8c4f45d051fda8b770803f92356bbbaa5d24f9b Checking out Revision a8c4f45d051fda8b770803f92356bbbaa5d24f9b (PR-4085) Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git rev-parse --resolve-git-dir /var/jenkins/workspace/dgl_PR-4085/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.7.4' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a8c4f45d051fda8b770803f92356bbbaa5d24f9b # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 a8c4f45d051fda8b770803f92356bbbaa5d24f9b # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # 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-4085 -v /var/jenkins/workspace/dgl_PR-4085:/var/jenkins/workspace/dgl_PR-4085:rw,z -v /var/jenkins/workspace/dgl_PR-4085@tmp:/var/jenkins/workspace/dgl_PR-4085@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 d04c4d3d7263a258c85721ecc635447810809fd600aaab4ebeefea81564324e8 -eo pid,comm [Pipeline] { [Pipeline] script [Pipeline] { [Pipeline] echo Not the first build [Pipeline] } [Pipeline] // script [Pipeline] } $ docker stop --time=1 d04c4d3d7263a258c85721ecc635447810809fd600aaab4ebeefea81564324e8 $ docker rm -f d04c4d3d7263a258c85721ecc635447810809fd600aaab4ebeefea81564324e8 [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-4085 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4085 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4085/head:refs/remotes/origin/PR-4085 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 Merge succeeded, producing 0815a439c9421cc5e6dddbfc4c7868af5b4196a1 Checking out Revision 0815a439c9421cc5e6dddbfc4c7868af5b4196a1 (PR-4085) Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 0815a439c9421cc5e6dddbfc4c7868af5b4196a1 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4085 0815a439c9421cc5e6dddbfc4c7868af5b4196a1 # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # 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-4085 -v /root/jenkins/workspace/dgl_PR-4085:/root/jenkins/workspace/dgl_PR-4085:rw,z -v /root/jenkins/workspace/dgl_PR-4085@tmp:/root/jenkins/workspace/dgl_PR-4085@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 af0f72df08ed783b4c960cbdb92758d7cf0a3a6a7ac5660b94ff76a4a14c1aba -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 mycustomgnn python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@148b1441; decorates RemoteLauncher[hudson.remoting.Channel@ef93cf4: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 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Merge succeeded, producing 85283e4ef2de243a6278ba568b8f782833743e92 Checking out Revision 85283e4ef2de243a6278ba568b8f782833743e92 (PR-4085) Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace [Pipeline] sh > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4085/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 85283e4ef2de243a6278ba568b8f782833743e92 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 85283e4ef2de243a6278ba568b8f782833743e92 # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/cub'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/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-4085/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' 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-4085/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/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-4085/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 '0ef5c509856e12cc408f0f00ed586b4c5b1a155c' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' 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-4085/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4085/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/array_nonzero.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/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/sddmm_hetero.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===== =====157/157 cpp-source files passed check===== All passed! Checking code style of python codes... Report ====== 18603 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 |1481 |NC |NC |99.59 |0.34 | +---------+-------+-----------+-----------+------------+---------+ |function |636 |NC |NC |100.00 |1.10 | +---------+-------+-----------+-----------+------------+---------+ External dependencies --------------------- :: dgl (dgl.distgnn.tools.tools) \-_api_internal (dgl._ffi.object) \-_dataloading | \-dataloader (dgl._dataloading.pytorch.dataloader) \-_deprecate | \-graph (dgl.transforms.functional) | \-nodeflow (dgl.network) | \-runtime | \-ir (dgl.function.message) | \-var (dgl.function.message) \-_ffi | \-_ctypes | | \-function (dgl._ffi.function) | | \-ndarray (dgl._ffi.ndarray) | | \-object (dgl._ffi._ctypes.function) | | \-types (dgl._ffi._ctypes.object) | \-base (dgl._ffi._ctypes.object) | \-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.tools.tools) \-dataloading | \-base (dgl.dataloading.dataloader) \-distributed (dgl._dataloading.pytorch.dataloader) | \-constants (dgl.distributed.rpc_client) | \-dist_context (dgl.distributed.dist_tensor) | \-dist_tensor (dgl.distributed.optim.pytorch.sparse_optim) | \-id_map (dgl.distributed.graph_partition_book) | \-kvstore (dgl.distributed.dist_tensor) | \-nn | | \-pytorch (dgl.distributed.optim.pytorch.sparse_optim) | \-optim | | \-pytorch | | \-utils (dgl.distributed.optim.pytorch.sparse_optim) | \-role (dgl.distributed.dist_tensor) | \-rpc (dgl.distributed.dist_tensor) | \-shared_mem_utils (dgl.distributed.dist_graph) | \-standalone_kvstore (dgl.distributed.kvstore) \-frame (dgl.transforms.functional) \-function (dgl.transforms.module) | \-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 |22232 |34.70 |NC |NC | +----------+-------+------+---------+-----------+ |docstring |35657 |55.65 |NC |NC | +----------+-------+------+---------+-----------+ |comment |1923 |3.00 |NC |NC | +----------+-------+------+---------+-----------+ |empty |4262 |6.65 |NC |NC | +----------+-------+------+---------+-----------+ Duplication ----------- +-------------------------+------+---------+-----------+ | |now |previous |difference | +=========================+======+=========+===========+ |nb duplicated lines |0 |NC |NC | +-------------------------+------+---------+-----------+ |percent duplicated lines |0.000 |NC |NC | +-------------------------+------+---------+-----------+ Messages by category -------------------- +-----------+-------+---------+-----------+ |type |number |previous |difference | +===========+=======+=========+===========+ |convention |0 |NC |NC | +-----------+-------+---------+-----------+ |refactor |0 |NC |NC | +-----------+-------+---------+-----------+ |warning |0 |NC |NC | +-----------+-------+---------+-----------+ |error |0 |NC |NC | +-----------+-------+---------+-----------+ ------------------------------------ Your code has been rated at 10.00/10 Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 af0f72df08ed783b4c960cbdb92758d7cf0a3a6a7ac5660b94ff76a4a14c1aba $ docker rm -f af0f72df08ed783b4c960cbdb92758d7cf0a3a6a7ac5660b94ff76a4a14c1aba [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: CPU Build (Win64)) [Pipeline] stage [Pipeline] { (CPU Build) [Pipeline] stage [Pipeline] { (GPU Build) [Pipeline] stage [Pipeline] { (CPU Build (Win64)) [Pipeline] node Running on dglci-windows in C:\Jenkins\workspace\dgl_PR-4085 [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4085 [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4085@2 [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github [Pipeline] checkout Cloning the remote Git repository Cloning with configured refspecs honoured and without tags The recommended git tool is: git using credential github [Pipeline] checkout Cloning the remote Git repository Cloning with configured refspecs honoured and without tags The recommended git tool is: git using credential github Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init C:\Jenkins\workspace\dgl_PR-4085 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4085 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4085@2 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Cleaning workspace Fetching without tags Merge succeeded, producing b27cd65964fe7587b6bb77f1b34b2d65965c77a8 Checking out Revision b27cd65964fe7587b6bb77f1b34b2d65965c77a8 (PR-4085) Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4085/head:refs/remotes/origin/PR-4085 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4085/head:refs/remotes/origin/PR-4085 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f b27cd65964fe7587b6bb77f1b34b2d65965c77a8 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4085 b27cd65964fe7587b6bb77f1b34b2d65965c77a8 # timeout=10 Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace Merge succeeded, producing 793cf33912262be4d4d9a483ee8e7138b8699d28 Checking out Revision 793cf33912262be4d4d9a483ee8e7138b8699d28 (PR-4085) Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace Cleaning workspace Fetching without tags Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-gpu:cu101_v220217 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # 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 GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 793cf33912262be4d4d9a483ee8e7138b8699d28 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4085 793cf33912262be4d4d9a483ee8e7138b8699d28 # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker pull dgllib/dgl-ci-cpu:cu101_v220217 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4085/head:refs/remotes/origin/PR-4085 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 Merge succeeded, producing 81f11f6680c93ca84a6e989862e33214467d5417 Checking out Revision 81f11f6680c93ca84a6e989862e33214467d5417 (PR-4085) Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace cu101_v220217: Pulling from dgllib/dgl-ci-gpu Digest: sha256:54de7da1aded4109de9852e90105193ec0ea4b59d84d8c4e928e0cb43c0521ee Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220217 docker.io/dgllib/dgl-ci-gpu:cu101_v220217 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh cu101_v220217: Pulling from dgllib/dgl-ci-cpu Digest: sha256:da272849e6986ec8d16e97890d47071605ad3029f661ac0116e390d2e78e082a Status: Image is up to date for dgllib/dgl-ci-cpu:cu101_v220217 docker.io/dgllib/dgl-ci-cpu:cu101_v220217 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 81f11f6680c93ca84a6e989862e33214467d5417 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4085 81f11f6680c93ca84a6e989862e33214467d5417 # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # 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_v220217 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -u root -w /root/jenkins/workspace/dgl_PR-4085@2 -v /root/jenkins/workspace/dgl_PR-4085@2:/root/jenkins/workspace/dgl_PR-4085@2:rw,z -v /root/jenkins/workspace/dgl_PR-4085@2@tmp:/root/jenkins/workspace/dgl_PR-4085@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_v220217 cat + docker inspect -f . dgllib/dgl-ci-cpu:cu101_v220217 . $ docker top ec7c197d42d59c4ba9341ac30649257b208ef4743c7efd1dd0f68f3e6fa521d3 -eo pid,comm [Pipeline] { [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -u root -w /root/jenkins/workspace/dgl_PR-4085 -v /root/jenkins/workspace/dgl_PR-4085:/root/jenkins/workspace/dgl_PR-4085:rw,z -v /root/jenkins/workspace/dgl_PR-4085@tmp:/root/jenkins/workspace/dgl_PR-4085@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_v220217 cat $ docker top d0a0c941ee1b472139d06609a6c4b972851cabed6b140d7e1629fe2686973dcf -eo pid,comm [Pipeline] { [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] sh [Pipeline] checkout The recommended git tool is: git using credential github Fetching changes from the remote Git repository Cleaning workspace Fetching without tags + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include mycustomgnn python readthedocs.yml src tensoradapter tests third_party tools tutorials + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include mycustomgnn python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@4712a724; decorates RemoteLauncher[hudson.remoting.Channel@ef93cf4:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@18258a76; decorates RemoteLauncher[hudson.remoting.Channel@ef93cf4: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 Fetching without tags Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Merge succeeded, producing 793cf33912262be4d4d9a483ee8e7138b8699d28 Checking out Revision 793cf33912262be4d4d9a483ee8e7138b8699d28 (PR-4085) Merge succeeded, producing e65603560c07fbc58d7b3b268d0379f41bd58202 Checking out Revision e65603560c07fbc58d7b3b268d0379f41bd58202 (PR-4085) Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" Cleaning workspace Merge succeeded, producing d939b9aa264453d80634fea3147a02f1bcd99f78 Checking out Revision d939b9aa264453d80634fea3147a02f1bcd99f78 (PR-4085) Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4085\.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 793cf33912262be4d4d9a483ee8e7138b8699d28 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 793cf33912262be4d4d9a483ee8e7138b8699d28 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4085@2/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e65603560c07fbc58d7b3b268d0379f41bd58202 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 e65603560c07fbc58d7b3b268d0379f41bd58202 # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4085/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d939b9aa264453d80634fea3147a02f1bcd99f78 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 d939b9aa264453d80634fea3147a02f1bcd99f78 # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # 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] bat [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'third_party/METIS'... administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4085>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/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'third_party/METIS'... Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/METIS'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'GKlib' Cloning into 'GKlib'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'GKlib' Cloning into 'GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Cloning into 'third_party/cub'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Cloning into 'third_party/cub'... Submodule path 'third_party/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/dlpack'... Submodule path 'third_party/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/dlpack'... Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Cloning into 'third_party/dmlc-core'... Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Cloning into 'third_party/dmlc-core'... Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Cloning into 'third_party/googletest'... Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Cloning into 'third_party/googletest'... Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Cloning into 'third_party/libxsmm'... Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Cloning into 'third_party/libxsmm'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Cloning into 'third_party/nanoflann'... Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Cloning into 'third_party/nccl'... Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Cloning into 'third_party/phmap'... Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Cloning into '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/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' Cloning into 'third_party/googletest'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Cloning into 'third_party/libnop'... Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Cloning into 'third_party/libuv'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/cub'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/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-4085/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Cloning into 'third_party/pybind11'... Submodule path 'third_party/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'tools/clang' Cloning into 'tools/clang'... Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Cloning into 'third_party/thrust'... Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/thrust': checked out '0ef5c509856e12cc408f0f00ed586b4c5b1a155c' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'dependencies/cub' Cloning into 'dependencies/cub'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/thrust/dependencies/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/tvm'... Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Cloning into 'third_party/nanoflann'... Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Cloning into 'third_party/nccl'... Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Cloning into 'third_party/phmap'... Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Cloning into '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' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' Cloning into 'third_party/googletest'... Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Cloning into 'third_party/libnop'... Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Cloning into 'third_party/libuv'... Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path '3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path '3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path '3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path '3rdparty/vta-hw' Cloning into '3rdparty/dlpack'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Cloning into '3rdparty/dmlc-core'... Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Cloning into 'third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/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/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Cloning into '3rdparty/rang'... Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Cloning into '3rdparty/vta-hw'... 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/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'tools/clang' Cloning into 'tools/clang'... Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Cloning into 'third_party/xbyak'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Cloning into 'third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/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/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] sh + bash tests/scripts/build_dgl.sh gpu ~/jenkins/workspace/dgl_PR-4085@2/build ~/jenkins/workspace/dgl_PR-4085@2 -- The C compiler identification is GNU 5.4.0 -- The CXX compiler identification is GNU 5.4.0 -- Check for working C compiler: /usr/bin/cc -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done Submodule path 'third_party/thrust': checked out '0ef5c509856e12cc408f0f00ed586b4c5b1a155c' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Start configuring project dgl -- Build with CUDA support -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- 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 -- Detected CUDA of version 10.1. Use external CUB/Thrust library. -- Found OpenMP_C: -fopenmp (found version "4.0") -- Found OpenMP_CXX: -fopenmp (found version "4.0") -- Found OpenMP: TRUE (found version "4.0") -- Build with OpenMP. -- Build with LIBXSMM optimization. -- 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_FP16 -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -- Running GPU architecture autodetection CMake Warning at cmake/modules/CUDA.cmake:71 (message): Running GPU detection script with nvcc failed: Call Stack (most recent call first): cmake/modules/CUDA.cmake:132 (dgl_detect_installed_gpus) cmake/modules/CUDA.cmake:266 (dgl_select_nvcc_arch_flags) CMakeLists.txt:182 (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:182 (dgl_config_cuda) -- CUDA flags: -Xcompiler ,-fopenmp,-O2,-Wall,-fPIC,-std=c++14,,-DUSE_AVX,-DUSE_LIBXSMM,-DDGL_CPU_LLC_SIZE=40000000,-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 "4.0") -- Found OpenMP_CXX: -fopenmp (found version "4.0") -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - found -- Looking for fopen64 -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h -- Looking for C++ include cxxabi.h - found -- Looking for nanosleep -- Looking for nanosleep - found -- Looking for backtrace -- Looking for backtrace - found -- backtrace facility detected in default set of libraries -- Found Backtrace: /usr/include -- Check if the system is big endian -- Searching 16 bit integer -- Looking for sys/types.h -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for stddef.h -- Looking for stddef.h - found -- Check size of unsigned short -- Check size of unsigned short - done -- Using unsigned short -- Check if the system is big endian - little endian -- /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Performing Test SUPPORT_MSSE2 -- Performing Test SUPPORT_MSSE2 - Success -- Looking for execinfo.h -- Looking for execinfo.h - found -- Looking for getline -- Looking for getline - found -- Performing Test UV_LINT_W4 -- Performing Test UV_LINT_W4 - Failed -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC - Failed -- Performing Test UV_LINT_NO_HIDES_LOCAL -- Performing Test UV_LINT_NO_HIDES_LOCAL - Failed -- Performing Test UV_LINT_NO_HIDES_PARAM -- Performing Test UV_LINT_NO_HIDES_PARAM - Failed -- Performing Test UV_LINT_NO_HIDES_GLOBAL -- Performing Test UV_LINT_NO_HIDES_GLOBAL - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC - Failed -- Performing Test UV_LINT_NO_UNSAFE_MSVC -- Performing Test UV_LINT_NO_UNSAFE_MSVC - Failed -- Performing Test UV_LINT_WALL -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER -- Performing Test UV_LINT_NO_UNUSED_PARAMETER - Success -- Performing Test UV_LINT_STRICT_PROTOTYPES -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Performing Test UV_LINT_EXTRA -- Performing Test UV_LINT_EXTRA - Success -- Performing Test UV_LINT_UTF8_MSVC -- Performing Test UV_LINT_UTF8_MSVC - Failed -- Performing Test UV_F_STRICT_ALIASING -- Performing Test UV_F_STRICT_ALIASING - Success -- summary of build options: Install prefix: /usr/local Target system: Linux Compiler: C compiler: /usr/bin/cc CFLAGS: -fopenmp -O2 -Wall -fPIC -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_FP16 -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -DLINUX -D_FILE_OFFSET_BITS=64 -std=c99 -fno-strict-aliasing -march=native -fPIC -Werror -Wall -Wno-unused-function -Wno-unused-but-set-variable -Wno-unused-variable -Wno-unknown-pragmas -DNDEBUG -DNDEBUG2 -DHAVE_EXECINFO_H -DHAVE_GETLINE -O3 -- Found uv: 1.38.1 (found version "1.38.1") -- Build with unittest -- Found PythonInterp: /usr/bin/python (found version "2.7.12") -- Building dist/rpc tests -- Configuring done -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4085@2/build Scanning dependencies of target libxsmm Scanning dependencies of target tensoradapter_pytorch Scanning dependencies of target nccl_external [ 0%] Creating directories for 'nccl_external' Scanning dependencies of target gtest Scanning dependencies of target dmlc [ 0%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest.dir/src/gtest-all.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/config.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/data.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/line_split.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/recordio.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/recordio_split.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/indexed_recordio_split.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/input_split_base.cc.o [ 3%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/local_filesys.cc.o [ 3%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/filesys.cc.o [ 4%] No download step for 'nccl_external' [ 4%] No update step for 'nccl_external' [ 4%] No patch step for 'nccl_external' [ 4%] No configure step for 'nccl_external' Scanning dependencies of target tensorpipe_uv Scanning dependencies of target metis [ 6%] Performing build step for 'nccl_external' [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/fs-poll.c.o [ 7%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/idna.c.o [ 7%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/random.c.o [ 7%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/inet.c.o [ 7%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/strscpy.c.o [ 8%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/threadpool.c.o [ 8%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/timer.c.o [ 8%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-common.c.o [ 8%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-data-getter-setters.c.o [ 9%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/version.c.o [ 9%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/async.c.o [ 9%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/core.c.o [ 9%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/csr.c.o [ 9%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/b64.c.o [ 9%] 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/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/blas.c.o [ 10%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getaddrinfo.c.o [ 10%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getnameinfo.c.o [ 12%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/error.c.o [ 12%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/fs.c.o [ 12%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/evaluate.c.o [ 13%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/fs.c.o [ 13%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/getopt.c.o [ 14%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/pipe.c.o [ 14%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/graph.c.o [ 14%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/loop-watcher.c.o [ 14%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/gkregex.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/htable.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/gk_util.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/mcore.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/itemsets.c.o [ 15%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/process.c.o [ 15%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/stream.c.o [ 15%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/poll.c.o [ 15%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/loop.c.o [ 15%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-devurandom.c.o [ 16%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/signal.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/fkvkselect.c.o [ 18%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/pqueue.c.o [ 18%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/io.c.o [ 18%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/random.c.o [ 18%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/proctitle.c.o [ 19%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/udp.c.o [ 19%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tty.c.o [ 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/rw.c.o [ 19%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-core.c.o [ 19%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/memory.c.o [ 19%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/string.c.o [ 20%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/sort.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/balance.c.o [ 20%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-inotify.c.o [ 20%] 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/debug.c.o [ 20%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-sysctl-linux.c.o [ 20%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/procfs-exepath.c.o [ 20%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/checkgraph.c.o [ 20%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/compress.c.o [ 20%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tcp.c.o -- The C compiler identification is GNU 5.4.0 [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/coarsen.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/contig.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/timers.c.o [ 21%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/thread.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/bucketsort.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/kmetis.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/fm.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/kwayfm.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/frename.c.o [ 22%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-syscalls.c.o [ 24%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/srefine.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mcutil.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mmd.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/sfm.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/mincover.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/separator.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/graph.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/kwayrefine.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/gklib.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mesh.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/ometis.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/fortran.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/initpart.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/timing.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/options.c.o [ 30%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/pmetis.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/refine.c.o [ 30%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/meshpart.c.o [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/wspace.c.o [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/auxapi.c.o [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/util.c.o -- The CXX compiler identification is GNU 5.4.0 -- Check for working C compiler: /usr/bin/cc Grabbing include/nccl_net.h > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/include/nccl_net.h Generating nccl.h.in > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/include/nccl.h Compiling init.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/init.o Generating nccl.pc.in > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/lib/pkgconfig/nccl.pc -- Check for working C compiler: /usr/bin/cc -- works Compiling channel.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/channel.o -- Detecting C compiler ABI info Compiling bootstrap.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/bootstrap.o Compiling transport.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/transport.o Compiling enqueue.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/enqueue.o Compiling group.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/group.o Compiling debug.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/debug.o Compiling proxy.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/proxy.o Compiling misc/nvmlwrap.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/misc/nvmlwrap.o Compiling misc/ibvwrap.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/misc/ibvwrap.o Compiling misc/gdrwrap.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/misc/gdrwrap.o Compiling misc/utils.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/misc/utils.o Compiling misc/argcheck.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/misc/argcheck.o -- Detecting C compiler ABI info - done Compiling transport/p2p.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/transport/p2p.o Compiling transport/shm.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/transport/shm.o -- Detecting C compile features -- Detecting C compile features - done Compiling transport/net.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/transport/net.o -- Check for working CXX compiler: /usr/bin/c++ Compiling transport/net_socket.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/transport/net_socket.o Compiling transport/net_ib.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/transport/net_ib.o Compiling transport/coll_net.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/transport/coll_net.o Compiling collectives/sendrecv.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/sendrecv.o Compiling collectives/all_reduce.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/all_reduce.o Compiling collectives/all_gather.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/all_gather.o Compiling collectives/broadcast.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/broadcast.o Compiling collectives/reduce.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/reduce.o -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info Compiling collectives/reduce_scatter.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/reduce_scatter.o [ 33%] Linking C static library libtensorpipe_uv.a Compiling graph/topo.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/graph/topo.o Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Compiling graph/paths.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/graph/paths.o [ 33%] Built target tensorpipe_uv Compiling graph/search.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/graph/search.o Compiling graph/connect.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/graph/connect.o Compiling graph/rings.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/graph/rings.o -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Using Python interpreter: /opt/conda/envs/pytorch-ci/bin/python Scanning dependencies of target tensorpipe Compiling graph/trees.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/graph/trees.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/error.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/fd.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener_impl.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/address.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/allocator.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/listener_impl.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe.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/channel/xth/factory.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/channel_impl.cc.o [ 38%] 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/transport/ibv/reactor.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/channel/cma/channel_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/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/core/error.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/core/context.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/error.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/error.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/factory.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/factory.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/context_impl.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/context_impl.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/listener_impl.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/error.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe_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/shm/sockaddr.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/context_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/socket.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/loop.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/error.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/shm_segment.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context_impl.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/utility.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/helpers.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/factory.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/ibv.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/channel_impl.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/listener_impl.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/sockaddr.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/connection_impl.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/factory.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/context_impl.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/sockaddr.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/epoll_loop.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/context_impl.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/connection_impl.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o Compiling graph/tuning.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/graph/tuning.o Compiling graph/xml.cc > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/graph/xml.o Generating rules > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/Makefile.rules [ 48%] Linking C static library libmetis.a [ 48%] Built target metis /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function 'tensorpipe::Error tensorpipe::Fd::readFull(void*, size_t)': /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/common/fd.cc:62:10: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rv != count) { ^ 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' In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/socket.cc:9:0: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function 'void tensorpipe::{anonymous}::parseDescriptorReplyOfMessage(tensorpipe::WriteOperation&, tensorpipe::DescriptorReply)': /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.h:20:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' -- find_cmake.py output: /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/share/cmake;1.9.0 -- Configuring for PyTorch 1.9.0 -- Setting directory to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/share/cmake/Torch -- Looking for pthread.h /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In member function 'void tensorpipe::PipeImpl::expectReadCall(tensorpipe::PipeImpl::ReadOpIter)': /root/jenkins/workspace/dgl_PR-4085@2/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-4085@2/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/busy_polling_loop.h:16, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/reactor.h:20, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:22:51: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:391:35: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.h:20:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:68:25: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:580:36: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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); ^ Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' /root/jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:114:56: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:51:35: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:118:35: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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); ^ -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:26:0: /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/strings.h: In function 'bool tensorpipe::isValidUuid(const string&)': /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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) { ^ Submodule path 'third_party/thrust': checked out '0ef5c509856e12cc408f0f00ed586b4c5b1a155c' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/utility.cc:13: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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 = 0u]' /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:225:21: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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 = 0u]' /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:280:34: required from here /root/jenkins/workspace/dgl_PR-4085@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) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/error.cc:11: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/ibv/utility.cc:28:0: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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 = {0ul, 1ul, 2ul, 3ul}; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; std::index_sequence = std::integer_sequence]': /root/jenkins/workspace/dgl_PR-4085@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-4085@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 = 0u]' /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:225:21: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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 = {0ul, 1ul, 2ul, 3ul}; Fds = {int, int, int, int}; std::index_sequence = std::integer_sequence]': /root/jenkins/workspace/dgl_PR-4085@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-4085@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 = 0u]' /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:280:34: required from here /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/socket.h:41:8: warning: unused variable 'dummy' [-Wunused-variable] auto dummy = {(saveOneFdToArray(array[Idxs], fds), 0)...}; ^ In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.h:20:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:324:25: required from here /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/queue.h:24:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] while (items_.size() >= capacity_) { ^ -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'dependencies/cub' Cloning into 'dependencies/cub'... Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:66:35: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:160:35: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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); ^ -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Found CUDA: /usr/local/cuda (found version "10.1") -- Caffe2: CUDA detected: 10.1 -- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc -- Caffe2: CUDA toolkit directory: /usr/local/cuda In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:65:35: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:157:35: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:131:33: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:132:33: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.h:18, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] bat Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sum_i8.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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sum_u8.o In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/loop.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sum_i32.o -- /usr/local/cuda/lib64/libnvrtc.so shorthash is 5e8a26c9 Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sum_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sum_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sum_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sum_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sum_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_prod_i8.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/python3.6/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): static library kineto_LIBRARY-NOTFOUND not found. Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:127 (append_torchlib_if_found) CMakeLists.txt:22 (find_package) -- Found Torch: /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/lib/libtorch.so -- tensoradapter found PyTorch includes: /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/include;/opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -- tensoradapter found PyTorch lib: torch -- Configured target tensoradapter_pytorch_1.9.0 -- Configuring done -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4085@2/tensoradapter/pytorch/build administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4085>CALL tests\scripts\build_dgl.bat ********************************************************************** ** Visual Studio 2019 Developer Command Prompt v16.5.5 ** Copyright (c) 2019 Microsoft Corporation ********************************************************************** Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_prod_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_prod_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_prod_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_prod_i64.o Scanning dependencies of target tensoradapter_pytorch_1.9.0 Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_prod_u64.o [ 50%] Building CXX object CMakeFiles/tensoradapter_pytorch_1.9.0.dir/torch.cpp.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_prod_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_prod_f32.o In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/context_impl.cc:13: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ [vcvarsall.bat] Environment initialized for: 'x64' Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_prod_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_min_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_min_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_min_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_min_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_min_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_min_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_min_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_min_f32.o created virtual environment CPython3.6.7.final.0-64 in 300ms creator CPython3Windows(dest=C:\Users\Administrator\Envs\jenkins-dgl-PR-4085-5, 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-4085\third_party\libxsmm\BUILD Deleted file - C:\Jenkins\workspace\dgl_PR-4085\third_party\libxsmm\samples\hello\BUILD Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_min_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_max_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_max_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_max_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_max_u32.o In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_max_i64.o Could Not Find C:\Jenkins\workspace\dgl_PR-4085\_download -- Selecting Windows SDK version 10.0.18362.0 to target Windows 6.3.9600. Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_max_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_max_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_max_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_max_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.o /root/jenkins/workspace/dgl_PR-4085@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-4085@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) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/ibv/context_impl.cc:11: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f16.o Submodule path 'third_party/thrust/dependencies/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/tvm'... Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.o In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.h:16:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f64.o In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/shm/factory.cc:12: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.o In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.h:21, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f64.o In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.h:16, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sum_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sum_u32.o -- The C compiler identification is MSVC 19.25.28614.0 In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/ibv/factory.cc:12: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sum_i64.o In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/uv/factory.cc:12: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sum_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sum_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sum_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sum_f64.o In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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) { ^ Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_prod_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_prod_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_prod_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_prod_u32.o -- The CXX compiler identification is MSVC 19.25.28614.0 -- Detecting C compiler ABI info Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_prod_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_prod_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_prod_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_prod_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_prod_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_min_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_min_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_min_i32.o -- 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 Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_min_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_min_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_min_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_min_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_min_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_min_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_max_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_max_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_max_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_max_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_max_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_max_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_max_f16.o [ 48%] Linking CXX static library ../../../lib/libgtest.a Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_max_f32.o -- 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 Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_max_f64.o [ 48%] Built target gtest Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i8.o Scanning dependencies of target gtest_main Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.o Scanning dependencies of target gmock [ 48%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest_main.dir/src/gtest_main.cc.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.o [ 48%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock.dir/src/gmock-all.cc.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sum_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sum_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sum_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sum_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sum_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sum_u64.o [ 49%] Linking CXX static library ../../../lib/libgtest_main.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sum_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sum_f32.o -- Found OpenMP_C: -openmp (found version "2.0") [ 49%] Built target gtest_main Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sum_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_prod_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_prod_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_prod_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_prod_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_prod_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_prod_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_prod_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_prod_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_prod_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_min_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_min_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_min_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_min_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_min_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_min_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_min_f16.o -- 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 Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_min_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_min_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_max_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_max_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_max_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_max_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_max_i64.o -- Looking for clock_gettime in rt - not found -- Looking for fopen64 Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_max_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_max_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_max_f32.o -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_max_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_premulsum_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_premulsum_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_premulsum_i32.o Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' -- Looking for C++ include cxxabi.h - not found -- Looking for nanosleep Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_premulsum_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_premulsum_i64.o Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path '3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path '3rdparty/dmlc-core' Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_premulsum_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_premulsum_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_premulsum_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_premulsum_f64.o Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path '3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path '3rdparty/vta-hw' Cloning into '3rdparty/dlpack'... -- Looking for nanosleep - not found -- Looking for backtrace Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i32.o -- Looking for backtrace - not found -- Could NOT find Backtrace (missing: Backtrace_LIBRARY Backtrace_INCLUDE_DIR) -- Check if the system is big endian -- Searching 16 bit integer -- Looking for sys/types.h Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f64.o Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Cloning into '3rdparty/dmlc-core'... Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sum_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sum_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sum_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sum_u32.o [ 49%] Linking CXX static library libtensorpipe.a Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sum_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sum_f16.o -- Looking for sys/types.h - found -- Looking for stdint.h Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sum_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sum_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_prod_i8.o [ 49%] Built target tensorpipe Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_prod_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_prod_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_prod_u32.o -- Looking for stdint.h - found -- Looking for stddef.h Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Cloning into '3rdparty/rang'... Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_prod_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_prod_u64.o ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@ec7c197d42d5) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 5.4.0, g++ 5.4.0, and gfortran 5.4.0 C / C++ target: -msse4.2 Fortran target: -msse4.2 -------------------------------------------------------------------------------- --- LIBXSMM build log Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_prod_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_prod_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_prod_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_min_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_min_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_min_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_min_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_min_i64.o -- Looking for stddef.h - found -- Check size of unsigned short Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Cloning into '3rdparty/vta-hw'... Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_min_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_min_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_min_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_min_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_max_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_max_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_max_i32.o -- Check size of unsigned short - done -- Searching 16 bit integer - Using unsigned short Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_max_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_max_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_max_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_max_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_max_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_max_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_premulsum_i8.o Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Cloning into 'third_party/xbyak'... Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_premulsum_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_premulsum_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_premulsum_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_premulsum_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_premulsum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_premulsum_f16.o [ 49%] Linking CXX static library ../../../lib/libgmock.a Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_premulsum_f32.o -- Check if the system is big endian - little endian -- C:/Jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Found PythonInterp: C:/Users/Administrator/Envs/jenkins-dgl-PR-4085-5/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 Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_premulsum_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.o [ 49%] Built target gmock Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.o Scanning dependencies of target gmock_main /usr/bin/ar: creating lib/libxsmmnoblas.a -- Looking for pthread.h - not found -- Found Threads: TRUE -- Configuring done Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i32.o [ 50%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock_main.dir/src/gmock_main.cc.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.o -- Generating done -- Build files have been written to: C:/Jenkins/workspace/dgl_PR-4085/build Microsoft (R) Build Engine version 16.5.1+4616136f8 for .NET Framework Copyright (C) Microsoft Corporation. All rights reserved. Build started 6/21/2022 10:05:55 PM. Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.o 1>Project "C:\Jenkins\workspace\dgl_PR-4085\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". Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] sh Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sum_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sum_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sum_i32.o 1>Project "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4085\build\ALL_BUILD.vcxproj.metaproj" (2) on node 1 (default targets). 2>Project "C:\Jenkins\workspace\dgl_PR-4085\build\ALL_BUILD.vcxproj.metaproj" (2) is building "C:\Jenkins\workspace\dgl_PR-4085\build\ZERO_CHECK.vcxproj" (11) on node 2 (default targets). 11>PrepareForBuild: Creating directory "x64\Release\ZERO_CHECK\". Creating directory "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\". InitializeBuildStatus: Creating "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Checking Build System FinalizeBuildStatus: Deleting file "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\unsuccessfulbuild". Touching "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\ZERO_CHECK.lastbuildstate". 11>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\ZERO_CHECK.vcxproj" (default targets). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sum_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sum_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sum_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sum_f16.o 1>Project "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj.metaproj" (10) on node 1 (default targets). 10>Project "C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj.metaproj" (10) is building "C:\Jenkins\workspace\dgl_PR-4085\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.A76F62B4.tlog\". InitializeBuildStatus: Creating "x64\Release\tensoradapter_pytorch\tensorad.A76F62B4.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: (jenkins-dgl-PR-4085-5) administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch>REM Helper script to build tensor adapter libraries for PyTorch Could Not Find C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build -- Selecting Windows SDK version 10.0.18362.0 to target Windows 6.3.9600. 1>Project "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (7) on node 1 (default targets). 7>Project "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (7) is building "C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\lib\Release\". Creating directory "gtest.dir\Release\gtest.tlog\". InitializeBuildStatus: Creating "gtest.dir\Release\gtest.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sum_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_prod_i8.o 1>Project "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (6) on node 1 (default targets). 6>Project "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (6) is building "C:\Jenkins\workspace\dgl_PR-4085\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-4085/third_party/googletest/googletest/CMakeLists.txt MakeDirsForCl: Creating directory "C:\Jenkins\workspace\dgl_PR-4085\build\bin\Release". 1>Project "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (5) on node 1 (default targets). 5>Project "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (5) is building "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googlemock\gmock.vcxproj" (15) on node 5 (default targets). 15>PrepareForBuild: Creating directory "gmock.dir\Release\". Creating directory "gmock.dir\Release\gmock.tlog\". 14>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4085/third_party/googletest/googlemock/CMakeLists.txt 15>InitializeBuildStatus: Creating "gmock.dir\Release\gmock.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. 13>ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\bin\Release\gtest.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest\src\gtest-all.cc" 1>Project "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (4) on node 1 (default targets). 4>Project "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (4) is building "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj" (16) on node 6 (default targets). 16>PrepareForBuild: Creating directory "dmlc.dir\Release\". Creating directory "C:\Jenkins\workspace\dgl_PR-4085\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-4085/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-4085\third_party\googletest\googlemock\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googlemock" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\bin\Release\gmock_main.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest\src\gtest-all.cc" "C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googlemock\src\gmock-all.cc" "C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googlemock\src\gmock_main.cc" 16>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/CMakeLists.txt 14>ClCompile: gtest-all.cc gmock-all.cc gmock_main.cc 15>ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googlemock\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googlemock" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\bin\Release\gmock.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest\src\gtest-all.cc" "C:\Jenkins\workspace\dgl_PR-4085\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-4085\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4085\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-4085\third_party\dmlc-core\src\config.cc" "C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\data.cc" "C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io.cc" "C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\recordio.cc" "C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\line_split.cc" "C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\recordio_split.cc" "C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\indexed_recordio_split.cc" "C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\input_split_base.cc" "C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\filesys.cc" "C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\local_filesys.cc" 15>ClCompile: gtest-all.cc gmock-all.cc Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_prod_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_prod_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_prod_u32.o 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 Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_prod_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_prod_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_prod_f16.o 16>C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\filesys.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\filesys.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\recordio_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\line_split.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\line_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\indexed_recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\indexed_recordio_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\input_split_base.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\input_split_base.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_prod_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_prod_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_min_i8.o + bash tests/scripts/build_dgl.sh cpu ~/jenkins/workspace/dgl_PR-4085/build ~/jenkins/workspace/dgl_PR-4085 -- The C compiler identification is GNU 5.4.0 -- The CXX compiler identification is GNU 5.4.0 -- Check for working C compiler: /usr/bin/cc 16>C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\local_filesys.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\local_filesys.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] 12>CustomBuild: -- The C compiler identification is MSVC 19.25.28614.0 Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_min_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_min_i32.o -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_min_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_min_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_min_u64.o -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_min_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_min_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_min_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_max_i8.o -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Start configuring project dgl -- Performing Test SUPPORT_CXX14 Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_max_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_max_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_max_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_max_i64.o -- Performing Test SUPPORT_CXX14 - Success Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_max_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_max_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_max_f32.o -- The CXX compiler identification is MSVC 19.25.28614.0 -- Detecting C compiler ABI info Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_max_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_premulsum_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_premulsum_u8.o -- Found OpenMP_C: -fopenmp (found version "4.0") -- Found OpenMP_CXX: -fopenmp (found version "4.0") -- Found OpenMP: TRUE (found version "4.0") -- Build with OpenMP. -- Build with LIBXSMM optimization. -- Found OpenMP_C: -fopenmp (found version "4.0") -- Found OpenMP_CXX: -fopenmp (found version "4.0") -- Looking for clock_gettime in rt Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_premulsum_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_premulsum_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_premulsum_i64.o -- Looking for clock_gettime in rt - found -- Looking for fopen64 -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_premulsum_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_premulsum_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_premulsum_f32.o -- Looking for C++ include cxxabi.h - found -- Looking for nanosleep -- Looking for nanosleep - found -- Looking for backtrace -- Detecting C compiler ABI info - done -- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/BuildTools/VC/Tools/MSVC/14.25.28610/bin/Hostx64/x64/cl.exe - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_premulsum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i8.o [ 50%] Linking CXX static library libdmlc.a -- 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 Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_u32.o -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for stddef.h [ 50%] Built target dmlc Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_u64.o -- Looking for stddef.h - found -- Check size of unsigned short -- 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 Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f64.o -- Check size of unsigned short - done -- Using unsigned short -- Check if the system is big endian - little endian -- /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Performing Test SUPPORT_MSSE2 Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u8.o -- Performing Test SUPPORT_MSSE2 - Success -- Looking for execinfo.h Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.o -- find_cmake.py output: C:\Program Files\Python36\lib\site-packages\torch\share\cmake;1.9.0 -- Configuring for PyTorch 1.9.0 -- Setting directory to C:\Program Files\Python36\lib\site-packages\torch\share\cmake/Torch -- Looking for pthread.h -- Looking for execinfo.h - found -- Looking for getline -- Looking for getline - found -- Performing Test UV_LINT_W4 Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f32.o -- Looking for pthread.h - not found -- Found Threads: TRUE -- 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 Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u8.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-4085\build\tensoradapter_pytorch.vcxproj] -- Build files have been written to: C:/Jenkins/workspace/dgl_PR-4085/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 6/21/2022 10:06:01 PM. -- 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 Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u32.o [ 50%] Linking CXX static library ../../../lib/libgmock_main.a Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.o 1>Project "C:\Jenkins\workspace\dgl_PR-4085\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-4085\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4085\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. -- 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 Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.o [ 50%] Built target gmock_main CustomBuild: Checking Build System FinalizeBuildStatus: Deleting file "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\unsuccessfulbuild". Touching "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\ZERO_CHECK.lastbuildstate". 2>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\ZERO_CHECK.vcxproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (3) on node 1 (default targets). 3>Project "C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (3) is building "C:\Jenkins\workspace\dgl_PR-4085\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-4085\tensoradapter\pytorch\build\Release\". Creating directory "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.7BC5E29D.tlog\". InitializeBuildStatus: Creating "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.7BC5E29D.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4085/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-4085\tensoradapter\pytorch\..\include" /I"C:\Jenkins\workspace\dgl_PR-4085\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-4085\tensoradapter\pytorch\torch.cpp" torch.cpp -- 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 Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f64.o -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Performing Test UV_LINT_EXTRA Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_min_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_min_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_min_i32.o -- 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 Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_min_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_min_i64.o -- 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 -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -DLINUX -D_FILE_OFFSET_BITS=64 -std=c99 -fno-strict-aliasing -march=native -fPIC -Werror -Wall -Wno-unused-function -Wno-unused-but-set-variable -Wno-unused-variable -Wno-unknown-pragmas -DNDEBUG -DNDEBUG2 -DHAVE_EXECINFO_H -DHAVE_GETLINE -O3 -- Found uv: 1.38.1 (found version "1.38.1") -- Build with unittest -- Found PythonInterp: /usr/bin/python (found version "2.7.12") -- Looking for pthread.h 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=at::Tensor ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::Tensor ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::Tensor ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::Tensor ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/TensorBody.h(734): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=at::Tensor ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=at::Generator ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::Generator ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::Generator ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::Generator ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/TensorBody.h(800): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=at::Generator ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::InlineDeviceGuard ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::InlineDeviceGuard ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::InlineDeviceGuard ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::InlineDeviceGuard ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/core/impl/InlineDeviceGuard.h(427): message : see reference to class template instantiation 'c10::optional>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/core/DeviceGuard.h(178): message : see reference to class template instantiation 'c10::impl::InlineOptionalDeviceGuard' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::InlineDeviceGuard ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::string ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::string ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::string ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::string ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/jit_type_base.h(107): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::string ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/jit_type.h(351): message : see reference to class template instantiation 'c10::optional>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase,std::allocator>>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/jit_type.h(425): message : see reference to class template instantiation 'c10::optional,std::allocator>>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/jit_type.h(664): message : see reference to class template instantiation 'c10::VaryingShape' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector,std::allocator>> ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase,std::allocator>>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/jit_type.h(425): message : see reference to class template instantiation 'c10::optional,std::allocator>>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/jit_type.h(470): message : see reference to class template instantiation 'c10::VaryingShape' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector,std::allocator>> ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/jit_type.h(568): message : see reference to class template instantiation 'c10::optional>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::QualifiedName ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::QualifiedName ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::QualifiedName ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::QualifiedName ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/jit_type.h(903): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::QualifiedName ] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_min_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_min_f16.o -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Building dist/rpc tests -- Configuring done 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::InlineStreamGuard ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::InlineStreamGuard ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::InlineStreamGuard ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::InlineStreamGuard ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/core/impl/InlineStreamGuard.h(196): message : see reference to class template instantiation 'c10::optional>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/core/StreamGuard.h(139): message : see reference to class template instantiation 'c10::impl::InlineOptionalStreamGuard' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::InlineStreamGuard ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::VirtualGuardImpl ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::VirtualGuardImpl ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::VirtualGuardImpl ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::VirtualGuardImpl ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/core/impl/InlineStreamGuard.h(231): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::VirtualGuardImpl ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/core/StreamGuard.h(162): message : see reference to class template instantiation 'c10::impl::InlineMultiStreamGuard' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::VirtualGuardImpl ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase,std::allocator>>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/ivalue_inl.h(362): message : see reference to class template instantiation 'c10::optional,std::allocator>>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector,std::allocator>> ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::OperatorName ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::OperatorName ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::OperatorName ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::OperatorName ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/record_function.h(306): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::OperatorName ] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_min_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_min_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_max_i8.o -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4085/build Scanning dependencies of target tensoradapter_pytorch Scanning dependencies of target dmlc Scanning dependencies of target libxsmm [ 0%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/data.cc.o [ 0%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/config.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/recordio.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/local_filesys.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/recordio_split.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/indexed_recordio_split.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/filesys.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/input_split_base.cc.o [ 3%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/line_split.cc.o Scanning dependencies of target gtest [ 4%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest.dir/src/gtest-all.cc.o 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=at::DimVector ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::DimVector ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::DimVector ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::DimVector ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/TensorIterator.h(616): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=at::DimVector ] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_max_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_max_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_max_u32.o Scanning dependencies of target metis Scanning dependencies of target tensorpipe_uv [ 4%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/io.c.o [ 4%] Building C object 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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/__/GKlib/graph.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/sfm.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/gklib.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/stat.c.o [ 29%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/gk_util.c.o [ 29%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/pmetis.c.o [ 29%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/udp.c.o [ 29%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getnameinfo.c.o [ 29%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mcutil.c.o [ 30%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/bucketsort.c.o [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/contig.c.o [ 33%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/memory.c.o [ 34%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/frename.c.o [ 34%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/meshpart.c.o [ 35%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/util.c.o [ 35%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-syscalls.c.o [ 35%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/options.c.o 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=torch::autograd::ViewInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::autograd::ViewInfo ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::autograd::ViewInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::autograd::ViewInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/autograd/variable.h(529): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=torch::autograd::ViewInfo ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::IValue ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::IValue ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::IValue ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::IValue ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/function_schema.h(115): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::IValue ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::AliasInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::AliasInfo ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::AliasInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::AliasInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/function_schema.h(118): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::AliasInfo ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::tuple ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::tuple ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::tuple ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::tuple ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/frontend/source_range.h(146): message : see reference to class template instantiation 'c10::optional>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::tuple ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::SourceRange ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::SourceRange ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::SourceRange ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::SourceRange ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/frontend/source_range.h(169): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::SourceRange ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::InlinedCallStackPtr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::InlinedCallStackPtr ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::InlinedCallStackPtr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::InlinedCallStackPtr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/ir/scope.h(121): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::InlinedCallStackPtr ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::ModuleInstanceInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::ModuleInstanceInfo ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::ModuleInstanceInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::ModuleInstanceInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/ir/scope.h(125): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::ModuleInstanceInfo ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::ScopePtr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::ScopePtr ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::ScopePtr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::ScopePtr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/ir/constants.h(29): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::ScopePtr ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::AnnotatedSchema ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::AnnotatedSchema ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::AnnotatedSchema ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::AnnotatedSchema ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/dispatch/OperatorEntry.h(182): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::AnnotatedSchema ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::OperatorEntry::CppSignatureWithDebug ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::OperatorEntry::CppSignatureWithDebug ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::OperatorEntry::CppSignatureWithDebug ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::OperatorEntry::CppSignatureWithDebug ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/dispatch/OperatorEntry.h(234): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::OperatorEntry::CppSignatureWithDebug ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::either ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::either ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::either ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::either ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/op_registration/op_registration.h(434): message : see reference to class template instantiation 'c10::optional>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=c10::either ] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_max_i64.o -- The C compiler identification is GNU 5.4.0 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=at::ThreadLocalState ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::ThreadLocalState ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::ThreadLocalState ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::ThreadLocalState ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/runtime/interpreter.h(141): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=at::ThreadLocalState ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::shared_ptr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::shared_ptr ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::shared_ptr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::shared_ptr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/api/function_impl.h(124): message : see reference to class template instantiation 'c10::optional>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::shared_ptr ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::Method ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::Method ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::Method ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::Method ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/api/object.h(41): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::Method ] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_max_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_max_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_max_f32.o -- The CXX compiler identification is GNU 5.4.0 -- Check for working C compiler: /usr/bin/cc 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/api/module.h(295): message : see reference to class template instantiation 'c10::optional>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_max_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.o -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=torch::nn::TripletMarginWithDistanceLossOptions::distance_function_t ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::nn::TripletMarginWithDistanceLossOptions::distance_function_t ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::nn::TripletMarginWithDistanceLossOptions::distance_function_t ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::nn::TripletMarginWithDistanceLossOptions::distance_function_t ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/options/loss.h(404): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=torch::nn::TripletMarginWithDistanceLossOptions::distance_function_t ] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.o -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/options/upsampling.h(26): message : see reference to class template instantiation 'c10::optional>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.o -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info [ 37%] Linking C static library libtensorpipe_uv.a [ 37%] Built target tensorpipe_uv -- Detecting CXX compiler ABI info - done Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.o -- Detecting CXX compile features -- Detecting CXX compile features - done -- Using Python interpreter: /opt/conda/envs/pytorch-ci/bin/python Scanning dependencies of target tensorpipe [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/error.cc.o [ 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/common/allocator.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/error.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/address.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/socket.cc.o [ 40%] 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/common/epoll_loop.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/sockaddr.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/factory.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener.cc.o [ 41%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/loop.cc.o [ 41%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context_impl.cc.o [ 41%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/sockaddr.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe_impl.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/error.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/system.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/channel/cma/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/ibv/reactor.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/connection_impl.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/fd.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/factory.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/factory.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/factory.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/listener_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/sockaddr.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/context_impl.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/channel_impl.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/connection_impl.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/listener_impl.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/connection_impl.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/shm_segment.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/reactor.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/context_impl.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/channel_impl.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/context_impl.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/listener_impl.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.o [ 49%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o [ 49%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/error.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/error.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/channel/basic/channel_impl.cc.o [ 51%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/error.cc.o [ 53%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/context_impl.cc.o [ 54%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/context_impl.cc.o [ 54%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/channel_impl.cc.o 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::tuple ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::tuple ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::tuple ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::tuple ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(157): message : see reference to class template instantiation 'c10::optional>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::tuple ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::function ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::function ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::function ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::function ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/autograd/profiler_legacy.h(514): message : see reference to class template instantiation 'c10::optional>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::function ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector>,std::allocator>>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector>,std::allocator>>> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector>,std::allocator>>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector>,std::allocator>>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>,std::allocator>>>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/autograd/profiler_legacy.h(588): message : see reference to class template instantiation 'c10::optional>,std::allocator>>>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector>,std::allocator>>> ] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.o 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(47): message : see reference to class template instantiation 'c10::optional>>' being compiled [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.o /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function 'tensorpipe::Error tensorpipe::Fd::readFull(void*, size_t)': /root/jenkins/workspace/dgl_PR-4085/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-4085/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function 'tensorpipe::Error tensorpipe::Fd::writeFull(const void*, size_t)': /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/fd.cc:62:10: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rv != count) { ^ Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f64.o In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.h:20:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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) { ^ Compiling functions.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/functions.o Compiling onerank_reduce.cu > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/onerank_reduce.o In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:26:0: /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/strings.h: In function 'bool tensorpipe::isValidUuid(const string&)': /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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) { ^ [ 54%] Linking C static library libmetis.a In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/socket.cc:9:0: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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) { ^ [ 54%] Built target metis -- find_cmake.py output: /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/share/cmake;1.9.0 -- Configuring for PyTorch 1.9.0 -- Setting directory to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/share/cmake/Torch In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.h:20:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of 'void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]': /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:324:25: required from here /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/queue.h:24:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] while (items_.size() >= capacity_) { ^ -- Looking for pthread.h In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.h:20:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of 'void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]': /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:68:25: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:51:35: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:118:35: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/transport/ibv/utility.cc:28:0: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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) { ^ -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/busy_polling_loop.h:16, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/shm/reactor.h:20, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:22:51: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:66:35: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:160:35: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:114:56: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h:248:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(ret, size); ^ -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:131:33: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:132:33: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^ -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function 'void tensorpipe::{anonymous}::parseDescriptorReplyOfMessage(tensorpipe::WriteOperation&, tensorpipe::DescriptorReply)': /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:35:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t tensorIdx = 0; tensorIdx < numTensors; ++tensorIdx) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:65:35: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^ /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function 'std::shared_ptr > tensorpipe::{anonymous}::makeDescriptorForMessage(const tensorpipe::WriteOperation&)': /root/jenkins/workspace/dgl_PR-4085/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(); ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:157:35: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/error.cc:11: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:87:37: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int tensorIdx = 0; tensorIdx < op.tensors.size(); ++tensorIdx) { ^ -- Looking for pthread_create in pthread - found -- Found Threads: TRUE CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): static library kineto_LIBRARY-NOTFOUND not found. Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:127 (append_torchlib_if_found) CMakeLists.txt:22 (find_package) -- Found Torch: /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/lib/libtorch.so -- tensoradapter found PyTorch includes: /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/include;/opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -- tensoradapter found PyTorch lib: torch -- Configured target tensoradapter_pytorch_1.9.0 -- Configuring done -- Generating done CMake Warning: Manually-specified variables were not used by the project: CUDA_TOOLKIT_ROOT_DIR TORCH_CUDA_ARCH_LIST -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4085/tensoradapter/pytorch/build /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In member function 'void tensorpipe::PipeImpl::expectReadCall(tensorpipe::PipeImpl::ReadOpIter)': /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:869:18: warning: unused variable 'op' [-Wunused-variable] ReadOperation& op = *opIter; ^ Scanning dependencies of target tensoradapter_pytorch_1.9.0 In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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 = 0u]' /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:225:21: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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 = 0u]' /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:280:34: required from here /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/socket.h:107:12: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rv != iov.iov_len) { ^ [ 50%] Building CXX object CMakeFiles/tensoradapter_pytorch_1.9.0.dir/torch.cpp.o In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.h:18, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of 'void tensorpipe::{anonymous}::loadFdsFromArray(int*, std::index_sequence, Fds& ...) [with long unsigned int ...Idxs = {0ul, 1ul, 2ul, 3ul}; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; std::index_sequence = std::integer_sequence]': /root/jenkins/workspace/dgl_PR-4085/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-4085/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 = 0u]' /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:225:21: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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 = {0ul, 1ul, 2ul, 3ul}; Fds = {int, int, int, int}; std::index_sequence = std::integer_sequence]': /root/jenkins/workspace/dgl_PR-4085/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-4085/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 = 0u]' /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:280:34: required from here /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/socket.h:41:8: warning: unused variable 'dummy' [-Wunused-variable] auto dummy = {(saveOneFdToArray(array[Idxs], fds), 0)...}; ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:391:35: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:580:36: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/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-4085/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/loop.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/shm/context_impl.cc:13: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/utility.cc:13: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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) { ^ 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-4085\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-4085/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4085/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-4085/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.lib and object C:/Jenkins/workspace/dgl_PR-4085/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.exp tensoradapter_pytorch_1.9.0.vcxproj -> C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\Release\tensoradapter_pytorch_1.9.0.dll FinalizeBuildStatus: Deleting file "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.7BC5E29D.tlog\unsuccessfulbuild". Touching "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.7BC5E29D.tlog\tensoradapter_pytorch_1.9.0.lastbuildstate". 4>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj" (default targets). 3>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (default targets). 1>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (default targets). Build succeeded. "C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj" (default target) (4) -> (ClCompile target) -> 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] 70 Warning(s) 0 Error(s) Time Elapsed 00:00:08.80 Release\tensoradapter_pytorch_1.9.0.dll 1 file(s) copied. Building Custom Rule C:/Jenkins/workspace/dgl_PR-4085/CMakeLists.txt FinalizeBuildStatus: Deleting file "x64\Release\tensoradapter_pytorch\tensorad.A76F62B4.tlog\unsuccessfulbuild". Touching "x64\Release\tensoradapter_pytorch\tensorad.A76F62B4.tlog\tensoradapter_pytorch.lastbuildstate". 12>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj" (default targets). 10>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\lib\Release\gtest.lib" /NOLOGO /MACHINE:X64 /machine:x64 "gtest.dir\Release\gtest-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-4085\build\third_party\dmlc-core\Release\dmlc.lib" /NOLOGO /MACHINE:X64 /machine:x64 dmlc.dir\Release\config.obj dmlc.dir\Release\data.obj dmlc.dir\Release\io.obj dmlc.dir\Release\recordio.obj dmlc.dir\Release\line_split.obj dmlc.dir\Release\recordio_split.obj dmlc.dir\Release\indexed_recordio_split.obj dmlc.dir\Release\input_split_base.obj dmlc.dir\Release\filesys.obj dmlc.dir\Release\local_filesys.obj 15>Lib: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\Lib.exe /OUT:"C:\Jenkins\workspace\dgl_PR-4085\build\lib\Release\gmock.lib" /NOLOGO /MACHINE:X64 /machine:x64 "gmock.dir\Release\gtest-all.obj" "gmock.dir\Release\gmock-all.obj" 14>Lib: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\Lib.exe /OUT:"C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\lib\Release\gtest.lib FinalizeBuildStatus: Deleting file "gtest.dir\Release\gtest.tlog\unsuccessfulbuild". Touching "gtest.dir\Release\gtest.tlog\gtest.lastbuildstate". 13>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googletest\gtest.vcxproj" (default targets). 7>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (default targets). 15>Lib: gmock.vcxproj -> C:\Jenkins\workspace\dgl_PR-4085\build\lib\Release\gmock.lib 14>Lib: gmock_main.vcxproj -> C:\Jenkins\workspace\dgl_PR-4085\build\lib\Release\gmock_main.lib 16>Lib: dmlc.vcxproj -> C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\Release\dmlc.lib 15>FinalizeBuildStatus: Deleting file "gmock.dir\Release\gmock.tlog\unsuccessfulbuild". Touching "gmock.dir\Release\gmock.tlog\gmock.lastbuildstate". 14>FinalizeBuildStatus: Deleting file "gmock_main.dir\Release\gmock_main.tlog\unsuccessfulbuild". 15>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googlemock\gmock.vcxproj" (default targets). 14>FinalizeBuildStatus: Touching "gmock_main.dir\Release\gmock_main.tlog\gmock_main.lastbuildstate". 14>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googlemock\gmock_main.vcxproj" (default targets). 16>FinalizeBuildStatus: Deleting file "dmlc.dir\Release\dmlc.tlog\unsuccessfulbuild". Touching "dmlc.dir\Release\dmlc.tlog\dmlc.lastbuildstate". 16>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj" (default targets). 5>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (default targets). 6>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (default targets). 4>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (8) on node 1 (default targets). 8>Project "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (8) is building "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googletest\gtest_main.vcxproj" (17) on node 1 (default targets). 17>PrepareForBuild: Creating directory "gtest_main.dir\Release\". Creating directory "gtest_main.dir\Release\gtest_main.tlog\". InitializeBuildStatus: Creating "gtest_main.dir\Release\gtest_main.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4085/third_party/googletest/googletest/CMakeLists.txt ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\bin\Release\gtest_main.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest\src\gtest_main.cc" 1>Project "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj.metaproj" (3) on node 1 (default targets). 3>Project "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj.metaproj" (3) is building "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj" (18) on node 1 (default targets). 18>PrepareForBuild: Creating directory "C:\Jenkins\workspace\dgl_PR-4085\build\Release\". Creating directory "dgl.dir\Release\dgl.tlog\". InitializeBuildStatus: Creating "dgl.dir\Release\dgl.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. 17>ClCompile: gtest_main.cc 18>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4085/CMakeLists.txt MakeDirsForCl: Creating directory "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.dir\Release\src\array\cpu". Creating directory "C:\Jenkins\workspace\dgl_PR-4085\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-4085\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\array.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\array_arith.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_cumsum.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_index_select.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_nonzero.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_op_impl.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_pack.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_repeat.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_scatter.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_sort.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_coalesce.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_linegraph.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_remove.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_sort.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_get_data.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_mm.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_remove.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_sort.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_sum.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_to_simple.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_union.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\disjoint_union.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\gather_mm.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\negative_sampling.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\rowwise_sampling.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\rowwise_topk.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\sddmm.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\segment_reduce.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_coo.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_csr.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmm.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\filter.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\kernel.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\array\uvm_array.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\bcast.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\c_api_common.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\dataloading\async_transferer.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\geometry\cpu\geometry_op_impl.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\geometry\geometry.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\partition\ndarray_partition.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\random\cpu\choice.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\random\random.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\c_object_api.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\c_runtime_api.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\cpu_device_api.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\dso_module.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\file_util.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\module.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\module_util.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\ndarray.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\object.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\registry.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\resource_manager.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\semaphore_wrapper.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\shared_mem.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\system_lib_module.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\tensordispatch.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\thread_pool.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\threading_backend.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\utils.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\runtime\workspace_pool.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\api\api_container.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\api\api_test.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\creators.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\gk_ops.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_apis.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_op.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_traversal.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\heterograph.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\heterograph_capi.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\immutable_graph.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\metis_partition.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\network.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\nodeflow.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\pickle.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampler.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\negative\global_uniform.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\neighbor\neighbor.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\get_node_types_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\node2vec.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\node2vec_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\randomwalk_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\randomwalks.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\dglgraph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\graph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\heterograph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\tensor_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\zerocopy_serializer.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\shared_mem_manager.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\subgraph.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\compact.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\line_graph.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\metis_partition_hetero.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\partition_hetero.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\remove_edges.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\to_bipartite.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\to_simple.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\graph\unit_graph.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\scheduler\scheduler.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\scheduler\scheduler_apis.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\rpc\network\common.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\rpc\network\msg_queue.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\rpc\network\socket_communicator.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\rpc\network\socket_pool.cc" "C:\Jenkins\workspace\dgl_PR-4085\src\rpc\network\tcp_socket.cc" array.cc array_arith.cc array_cumsum.cc array_index_select.cc array_nonzero.cc array_op_impl.cc array_pack.cc array_repeat.cc array_scatter.cc array_sort.cc coo_coalesce.cc coo_linegraph.cc coo_remove.cc coo_sort.cc csr_get_data.cc csr_mm.cc csr_remove.cc csr_sort.cc csr_sum.cc csr_to_simple.cc csr_union.cc disjoint_union.cc gather_mm.cc negative_sampling.cc rowwise_sampling.cc rowwise_topk.cc sddmm.cc segment_reduce.cc spmat_op_impl_coo.cc spmat_op_impl_csr.cc spmm.cc filter.cc [100%] Linking CXX shared library libtensoradapter_pytorch_1.9.0.so In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/ibv/context_impl.cc:11: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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) { ^ 17>Lib: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\Lib.exe /OUT:"C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\lib\Release\gtest_main.lib FinalizeBuildStatus: Deleting file "gtest_main.dir\Release\gtest_main.tlog\unsuccessfulbuild". Touching "gtest_main.dir\Release\gtest_main.tlog\gtest_main.lastbuildstate". 17>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googletest\gtest_main.vcxproj" (default targets). 8>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (default targets). In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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) { ^ 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_cumsum.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_cumsum.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_nonzero.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_nonzero.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_index_select.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_index_select.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_coalesce.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_coalesce.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_linegraph.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_linegraph.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_sort.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_sort.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_scatter.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_scatter.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_repeat.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_repeat.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] kernel.cc libra_partition.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\gather_mm.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\gather_mm.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_pack.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_pack.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/factory.cc:12: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.h:16:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.h:21, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/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-4085/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) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/shm/factory.cc:12: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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) { ^ 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_to_simple.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_to_simple.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_union.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_union.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_sort.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_sort.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\disjoint_union.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\disjoint_union.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] uvm_array.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_sort.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_sort.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] bcast.cc c_api_common.cc async_transferer.cc geometry_op_impl.cc geometry.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\rowwise_topk.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\rowwise_topk.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\segment_reduce.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\segment_reduce.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\negative_sampling.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\negative_sampling.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] ndarray_partition.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\filter.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\filter.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] choice.cc In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.h:16, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/ibv/factory.cc:12: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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) { ^ random.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\array_arith.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\array_arith.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] c_object_api.cc c_runtime_api.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\rowwise_sampling.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\rowwise_sampling.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] cpu_device_api.cc dso_module.cc In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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) { ^ file_util.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_get_data.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_get_data.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] module.cc module_util.cc ndarray.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_remove.cc(62): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_mm.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_mm.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_remove.cc(63): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] object.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(4088,24): warning C4244: '=': conversion from 'const _Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _Ty=int64_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t, _FwdIt=int32_t *, _Ty=int64_t ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_sum.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_sum.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] registry.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\array.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\array.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_coo.cc(685): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_coo.cc(707): 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-4085\build\dgl.vcxproj] resource_manager.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\numeric(817,20): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _Ty=int64_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_coo.cc(384): message : see reference to function template instantiation 'void std::iota(_FwdIt,_FwdIt,_Ty)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ IdType=int32_t, _FwdIt=int32_t *, _Ty=int64_t ] C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_coo.cc(633): 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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_coo.cc(636): message : see reference to function template instantiation 'dgl::aten::CSRMatrix dgl::aten::impl::COOToCSR(dgl::aten::COOMatrix)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4244: 'initializing': conversion from '_Ty' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _Ty=__int64 ] and [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t, _Ty=std::pair, _Other1=std::pair, _Other2=__int64 ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t, _Ty=std::pair, _Other1=std::pair, _Other2=__int64 ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\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-4085\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-4085\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-4085\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-4085\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-4085\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-4085\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\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-4085\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-4085\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-4085\build\dgl.vcxproj] semaphore_wrapper.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmm.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmm.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] shared_mem.cc system_lib_module.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\sddmm.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\sddmm.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] tensordispatch.cc thread_pool.cc threading_backend.cc utils.cc workspace_pool.cc api_container.cc 18>C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(395,16): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(395,16): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(395,16): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(395,16): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(395,16): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(395,16): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\uvm_array.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\uvm_array.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\c_api_common.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\c_api_common.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4085\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 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\geometry\cpu\geometry_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\geometry\cpu\geometry_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] api_test.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\geometry\geometry.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\geometry\geometry.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\partition\ndarray_partition.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\partition\ndarray_partition.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] creators.cc gk_ops.cc ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@d0a0c941ee1b) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 5.4.0, g++ 5.4.0, and gfortran 5.4.0 C / C++ target: -msse4.2 Fortran target: -msse4.2 -------------------------------------------------------------------------------- --- LIBXSMM build log [100%] Built target tensoradapter_pytorch_1.9.0 'libtensoradapter_pytorch_1.9.0.so' -> '/root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so' [ 50%] Built target tensoradapter_pytorch /usr/bin/ar: creating lib/libxsmmgen.a graph.cc 18>C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(283,10): message : consider using '%zd' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(290,12): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(290,12): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(290,12): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(295,12): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(295,12): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(295,12): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=IdType ] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(273,21): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(273,21): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(273,21): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=IdType ] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(273,21): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(273,21): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(273,21): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] graph_apis.cc graph_op.cc 18>C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ _Ty=int64_t ] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(286,17): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(286,17): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc(286,17): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(4088,24): warning C4244: '=': conversion from 'const _Ty' to 'float', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _Ty=int ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ _Ty=ValueType, _FwdIt=std::_Vector_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdxType=int64_t, FloatType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdxType=int64_t, FloatType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4085\src\random\cpu\choice.cc(42): message : see reference to class template instantiation 'dgl::utils::TreeSampler' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ IdxType=int64_t, FloatType=float ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] graph_traversal.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\random\random.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\random\random.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] heterograph.cc [ 55%] Linking CXX static library ../../../lib/libgtest_main.a heterograph_capi.cc immutable_graph.cc metis_partition.cc network.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(51,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include\metis.h(75): message : see previous definition of 'INT32_MIN' (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(52,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include\metis.h(77): message : see previous definition of 'INT64_MIN' (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(55,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include\metis.h(76): message : see previous definition of 'INT32_MAX' (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(56,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include\metis.h(78): message : see previous definition of 'INT64_MAX' (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, [ 55%] Built target gtest_main /usr/bin/ar: creating lib/libxsmmnoblas.a _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\kernel.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\kernel.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] nodeflow.cc pickle.cc sampler.cc global_uniform.cc neighbor.cc get_node_types_cpu.cc [ 55%] Linking CXX static library libtensorpipe.a [ 55%] Built target tensorpipe node2vec.cc node2vec_cpu.cc randomwalk_cpu.cc randomwalk_with_restart_cpu.cc randomwalks.cc dglgraph_serialize.cc graph_serialize.cc heterograph_serialize.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\runtime\utils.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\aten\./array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\runtime\utils.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] tensor_serialize.cc zerocopy_serializer.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\creators.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\creators.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\gk_ops.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\gk_ops.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] shared_mem_manager.cc subgraph.cc compact.cc line_graph.cc metis_partition_hetero.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_traversal.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_traversal.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\get_node_types_cpu.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\get_node_types_cpu.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\metis_partition.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\metis_partition.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] [ 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 partition_hetero.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\nodeflow.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\nodeflow.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\negative\global_uniform.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\negative\global_uniform.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_apis.cc) remove_edges.cc C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_apis.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\immutable_graph.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\immutable_graph.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] to_bipartite.cc to_simple.cc 18>C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampler.cc(1526,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\neighbor\neighbor.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\neighbor\neighbor.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampler.cc(1751,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampler.cc(1693): message : while compiling class template member function 'void dgl::WeightedEdgeSamplerObject::Fetch(dgl::runtime::DGLRetValue *)' [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampler.cc(1842): message : see reference to class template instantiation 'dgl::WeightedEdgeSamplerObject' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] unit_graph.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\pickle.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\pickle.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] scheduler.cc /usr/bin/ar: creating lib/libxsmmgen.a 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\node2vec.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\node2vec.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] scheduler_apis.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] common.cc [100%] Linking CXX shared library libtensoradapter_pytorch_1.9.0.so [ 55%] Linking CXX static library ../../../lib/libgmock_main.a [ 55%] Built target gmock_main 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] [100%] Built target tensoradapter_pytorch_1.9.0 'libtensoradapter_pytorch_1.9.0.so' -> '/root/jenkins/workspace/dgl_PR-4085/build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so' [ 55%] Built target tensoradapter_pytorch 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xstddef(240,54): warning C4018: '<': signed/unsigned mismatch (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\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-4085\build\dgl.vcxproj] with [ _FwdIt=const int64_t *, _Ty=dgl::dgl_id_t, _Pr=std::less ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdxType=int64_t, _FwdIt=const int64_t *, _Ty=dgl::dgl_id_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\node2vec_cpu.cc) msg_queue.cc C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdxType=int64_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdxType=int64_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdxType=int64_t ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xstddef(242,43): warning C4018: '<': signed/unsigned mismatch (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\src\graph\sampling\randomwalks\node2vec_cpu.cc) 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] socket_communicator.cc [ 55%] Linking CXX static library libdmlc.a [ 55%] Built target dmlc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\network.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\network.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\heterograph_capi.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\heterograph_capi.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] socket_pool.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\randomwalks.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\randomwalks.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(207,16): warning C4244: 'initializing': conversion from '_Ty' to '_Ty1', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _Ty=std::chrono::system_clock::rep ] and [ _Ty1=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdxType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdxType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ _Alloc=std::allocator>, _Ty=std::pair, _Objty=std::pair ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ _Alloc=std::allocator>, _Ty=std::pair, _Objty=std::pair ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdxType=int32_t, _Ty=std::pair<__int64,int> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdxType=int32_t ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] tcp_socket.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,1): warning C4267: '=': conversion from 'size_t' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=unsigned __int64, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\tensor_serialize.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\tensor_serialize.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\dglgraph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\aten\./array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\dglgraph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\graph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\graph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\heterograph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\heterograph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\subgraph.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\subgraph.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\line_graph.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\line_graph.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\metis_partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\metis_partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\shared_mem_manager.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\shared_mem_manager.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\remove_edges.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\remove_edges.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\tuple(632,57): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\tuple(633,58): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\compact.cc) 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4244: 'initializing': conversion from '_Ty' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\compact.cc(74): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ IdType=int32_t ] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\to_simple.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\to_simple.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\to_bipartite.cc(80): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\scheduler\scheduler_apis.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\scheduler\scheduler_apis.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] /usr/bin/ar: creating lib/libxsmm.a /usr/bin/ar: creating lib/libxsmmf.a /usr/bin/ar: creating lib/libxsmmext.a ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@d0a0c941ee1b) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 5.4.0, g++ 5.4.0, and gfortran 5.4.0 C / C++ target: -msse4.2 Fortran target: -msse4.2 -------------------------------------------------------------------------------- BLAS dependency and fallback is removed! -------------------------------------------------------------------------------- [ 55%] Built target libxsmm 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_nonzero.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_cumsum.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_index_select.cc.o [ 58%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_scatter.cc.o [ 58%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_mm.cc.o [ 58%] Building CXX object 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CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalks.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/traversal.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/subgraph.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/shared_mem_manager.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/compact.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/zerocopy_serializer.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/rpc/tensorpipe/tp_communicator.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/heterograph_serialize.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/dglgraph_serialize.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/tcp_socket.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler_apis.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_communicator.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/knn.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_pool.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_bipartite.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/graph_serialize.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/line_graph.cc.o 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\rpc\network\socket_communicator.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\rpc\network\socket_communicator.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] /root/jenkins/workspace/dgl_PR-4085/src/rpc/network/common.cc: In function 'void dgl::network::StringAppendV(std::__cxx11::string*, const char*, __va_list_tag*)': /root/jenkins/workspace/dgl_PR-4085/src/rpc/network/common.cc:71:32: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if ((result >= 0) && (result < sizeof(space))) { ^ /root/jenkins/workspace/dgl_PR-4085/src/graph/serialize/zerocopy_serializer.cc: In function 'void dgl::RawDataTensoDLPackDeleter(DLManagedTensor*)': /root/jenkins/workspace/dgl_PR-4085/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-4085/src/graph/sampling/negative/global_uniform.cc: In function 'std::pair dgl::sampling::GlobalUniformNegativeSampling(dgl::HeteroGraphPtr, dgl::dgl_type_t, int64_t, int, bool, bool, double)': /root/jenkins/workspace/dgl_PR-4085/src/graph/sampling/negative/global_uniform.cc:29:21: warning: unused variable 'allowed' [-Wunused-variable] dgl_format_code_t allowed = hg->GetAllowedFormats(); ^ /root/jenkins/workspace/dgl_PR-4085/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)1u; FloatType = float; IdType = int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4085/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)1u; FloatType = float; IdType = int; dgl::IdArray = dgl::runtime::NDArray]::' /root/jenkins/workspace/dgl_PR-4085/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)1u; FloatType = float; IdType = int; dgl::IdArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4085/src/graph/transform/cpu/knn.cc:590:47: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/graph/gk_ops.cc: In function 'gk_csr_t* dgl::Convert2GKCsr(dgl::aten::CSRMatrix, bool)': /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/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)1u; FloatType = float; IdType = long int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4085/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)1u; FloatType = float; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]::' /root/jenkins/workspace/dgl_PR-4085/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)1u; FloatType = float; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4085/src/graph/transform/cpu/knn.cc:594:47: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/graph/graph_op.cc: In static member function 'static dgl::GraphPtr dgl::GraphOp::DisjointUnion(std::vector >)': /root/jenkins/workspace/dgl_PR-4085/src/graph/graph_op.cc:125:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (dgl_id_t i = 1; i < g_num_nodes + 1; ++i) { ^ /root/jenkins/workspace/dgl_PR-4085/src/graph/graph_op.cc:128:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (dgl_id_t i = 0; i < g_num_edges; ++i) { ^ /root/jenkins/workspace/dgl_PR-4085/src/graph/graph_op.cc:132:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (dgl_id_t i = 0; i < g_num_edges; ++i) { ^ /root/jenkins/workspace/dgl_PR-4085/src/graph/graph_op.cc: In static member function 'static std::vector > dgl::GraphOp::DisjointPartitionBySizes(dgl::GraphPtr, dgl::IdArray)': /root/jenkins/workspace/dgl_PR-4085/src/graph/graph_op.cc:237:41: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int j = indptr[start_pos]; j < indptr[end_pos]; ++j) { ^ /root/jenkins/workspace/dgl_PR-4085/src/graph/graph_op.cc:241:41: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int k = indptr[start_pos]; k < indptr[end_pos]; ++k) { ^ /root/jenkins/workspace/dgl_PR-4085/src/partition/ndarray_partition.cc: In member function 'virtual std::pair dgl::partition::RemainderPartition::GeneratePermutation(dgl::IdArray) const': /root/jenkins/workspace/dgl_PR-4085/src/partition/ndarray_partition.cc:47:10: warning: variable 'ctx' set but not used [-Wunused-but-set-variable] auto ctx = in_idx->ctx; ^ /root/jenkins/workspace/dgl_PR-4085/src/partition/ndarray_partition.cc: In member function 'virtual dgl::IdArray dgl::partition::RemainderPartition::MapToLocal(dgl::IdArray) const': /root/jenkins/workspace/dgl_PR-4085/src/partition/ndarray_partition.cc:66:10: warning: variable 'ctx' set but not used [-Wunused-but-set-variable] auto ctx = in_idx->ctx; ^ /root/jenkins/workspace/dgl_PR-4085/src/partition/ndarray_partition.cc: In member function 'virtual dgl::IdArray dgl::partition::RemainderPartition::MapToGlobal(dgl::IdArray, int) const': /root/jenkins/workspace/dgl_PR-4085/src/partition/ndarray_partition.cc:85:10: warning: variable 'ctx' set but not used [-Wunused-but-set-variable] auto ctx = in_idx->ctx; ^ /root/jenkins/workspace/dgl_PR-4085/src/partition/ndarray_partition.cc: In member function 'virtual std::pair dgl::partition::RangePartition::GeneratePermutation(dgl::IdArray) const': /root/jenkins/workspace/dgl_PR-4085/src/partition/ndarray_partition.cc:132:10: warning: variable 'ctx' set but not used [-Wunused-but-set-variable] auto ctx = in_idx->ctx; ^ /root/jenkins/workspace/dgl_PR-4085/src/partition/ndarray_partition.cc: In member function 'virtual dgl::IdArray dgl::partition::RangePartition::MapToLocal(dgl::IdArray) const': /root/jenkins/workspace/dgl_PR-4085/src/partition/ndarray_partition.cc:158:10: warning: variable 'ctx' set but not used [-Wunused-but-set-variable] auto ctx = in_idx->ctx; ^ /root/jenkins/workspace/dgl_PR-4085/src/partition/ndarray_partition.cc: In member function 'virtual dgl::IdArray dgl::partition::RangePartition::MapToGlobal(dgl::IdArray, int) const': /root/jenkins/workspace/dgl_PR-4085/src/partition/ndarray_partition.cc:179:10: warning: variable 'ctx' set but not used [-Wunused-but-set-variable] auto ctx = in_idx->ctx; ^ /root/jenkins/workspace/dgl_PR-4085/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)1u; FloatType = double; IdType = int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4085/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)1u; FloatType = double; IdType = int; dgl::IdArray = dgl::runtime::NDArray]::' /root/jenkins/workspace/dgl_PR-4085/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)1u; FloatType = double; IdType = int; dgl::IdArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4085/src/graph/transform/cpu/knn.cc:598:47: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/graph/graph.cc: In member function 'virtual dgl::Subgraph dgl::Graph::EdgeSubgraph(dgl::IdArray, bool) const': /root/jenkins/workspace/dgl_PR-4085/src/graph/graph.cc:539:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int64_t i = 0; i < NumVertices(); ++i) ^ /root/jenkins/workspace/dgl_PR-4085/src/random/cpu/choice.cc: In instantiation of 'void dgl::RandomEngine::UniformChoice(IdxType, IdxType, IdxType*, bool) [with IdxType = int]': /root/jenkins/workspace/dgl_PR-4085/src/random/cpu/choice.cc:127:78: required from here /root/jenkins/workspace/dgl_PR-4085/src/random/cpu/choice.cc:96:32: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] while (selected.size() < num) { ^ /root/jenkins/workspace/dgl_PR-4085/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)1u; FloatType = double; IdType = long int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4085/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)1u; FloatType = double; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]::' /root/jenkins/workspace/dgl_PR-4085/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)1u; FloatType = double; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4085/src/graph/transform/cpu/knn.cc:602:47: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/graph/graph_op.cc: In static member function 'static dgl::GraphPtr dgl::GraphOp::ToBidirectedImmutableGraph(dgl::GraphPtr)': /root/jenkins/workspace/dgl_PR-4085/src/graph/graph_op.cc:393:28: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < new_n_e; ++i) { ^ /root/jenkins/workspace/dgl_PR-4085/src/random/cpu/choice.cc: In instantiation of 'void dgl::RandomEngine::UniformChoice(IdxType, IdxType, IdxType*, bool) [with IdxType = long int]': /root/jenkins/workspace/dgl_PR-4085/src/random/cpu/choice.cc:130:78: required from here /root/jenkins/workspace/dgl_PR-4085/src/random/cpu/choice.cc:96:32: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] In file included from /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/rowwise_sampling.cc:8:0: /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./rowwise_pick.h: In instantiation of 'dgl::aten::impl::CSRRowWisePerEtypePick(dgl::aten::CSRMatrix, dgl::IdArray, dgl::IdArray, const std::vector&, bool, bool, dgl::aten::impl::RangePickFn):: [with IdxType = int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./rowwise_pick.h:299:15: required from 'struct dgl::aten::impl::CSRRowWisePerEtypePick(dgl::aten::CSRMatrix, dgl::IdArray, dgl::IdArray, const std::vector&, bool, bool, dgl::aten::impl::RangePickFn) [with IdxType = int; dgl::IdArray = dgl::runtime::NDArray; dgl::aten::impl::RangePickFn = std::function >&, const int*, int*)>]::' /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./rowwise_pick.h:229:24: required from 'dgl::aten::COOMatrix dgl::aten::impl::CSRRowWisePerEtypePick(dgl::aten::CSRMatrix, dgl::IdArray, dgl::IdArray, const std::vector&, bool, bool, dgl::aten::impl::RangePickFn) [with IdxType = int; dgl::IdArray = dgl::runtime::NDArray; dgl::aten::impl::RangePickFn = std::function >&, const int*, int*)>]' /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/rowwise_sampling.cc:143:32: required from 'dgl::aten::COOMatrix dgl::aten::impl::CSRRowWisePerEtypeSampling(dgl::aten::CSRMatrix, dgl::IdArray, dgl::IdArray, const std::vector&, dgl::FloatArray, bool, bool) [with DLDeviceType XPU = (DLDeviceType)1u; IdxType = int; FloatType = float; dgl::IdArray = dgl::runtime::NDArray; dgl::FloatArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/rowwise_sampling.cc:147:85: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./rowwise_pick.h:230:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int64_t i = b; i < e; ++i) { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./rowwise_pick.h: In instantiation of 'dgl::aten::impl::CSRRowWisePerEtypePick(dgl::aten::CSRMatrix, dgl::IdArray, dgl::IdArray, const std::vector&, bool, bool, dgl::aten::impl::RangePickFn):: [with IdxType = long int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./rowwise_pick.h:299:15: required from 'struct dgl::aten::impl::CSRRowWisePerEtypePick(dgl::aten::CSRMatrix, dgl::IdArray, dgl::IdArray, const std::vector&, bool, bool, dgl::aten::impl::RangePickFn) [with IdxType = long int; dgl::IdArray = dgl::runtime::NDArray; dgl::aten::impl::RangePickFn = std::function&, const long int*, long int*)>]::' /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./rowwise_pick.h:229:24: required from 'dgl::aten::COOMatrix dgl::aten::impl::CSRRowWisePerEtypePick(dgl::aten::CSRMatrix, dgl::IdArray, dgl::IdArray, const std::vector&, bool, bool, dgl::aten::impl::RangePickFn) [with IdxType = long int; dgl::IdArray = dgl::runtime::NDArray; dgl::aten::impl::RangePickFn = std::function&, const long int*, long int*)>]' /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/rowwise_sampling.cc:143:32: required from 'dgl::aten::COOMatrix dgl::aten::impl::CSRRowWisePerEtypeSampling(dgl::aten::CSRMatrix, dgl::IdArray, dgl::IdArray, const std::vector&, dgl::FloatArray, bool, bool) [with DLDeviceType XPU = (DLDeviceType)1u; IdxType = long int; FloatType = float; dgl::IdArray = dgl::runtime::NDArray; dgl::FloatArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/rowwise_sampling.cc:149:85: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./rowwise_pick.h:230:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] /root/jenkins/workspace/dgl_PR-4085/src/graph/graph_apis.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4085/src/graph/graph_apis.cc:52:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < edge_ids->shape[0]; i++) ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/kernel.cc:331:16: warning: unused variable 'format' [-Wunused-variable] SparseFormat format = graph->SelectFormat(0, CSC_CODE); ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/src/geometry/../c_api_common.h:10:0, from /root/jenkins/workspace/dgl_PR-4085/src/geometry/geometry.cc:9: /root/jenkins/workspace/dgl_PR-4085/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; ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/io.h:15:0, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:133:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:135:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:151:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:169:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:178:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:180:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:182:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < node_assignments[v].size(); j++) { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:187:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < node_assignments[u].size(); j++) { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:200:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < intersetv.size(); j++) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/io.h:15:0, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:231:44: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:254:44: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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]); ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/io.h:15:0, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:133:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:135:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:151:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:169:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:178:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:180:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:182:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < node_assignments[v].size(); j++) { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:187:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < node_assignments[u].size(); j++) { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:200:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < intersetv.size(); j++) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/io.h:15:0, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:231:44: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:254:44: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/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]); ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/io.h:15:0, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:133:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4085/src/partition/ndarray_partition.cc:204:3: warning: control reaches end of non-void function [-Wreturn-type] } ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:135:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:151:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:169:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:178:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:180:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:182:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < node_assignments[v].size(); j++) { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:187:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < node_assignments[u].size(); j++) { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:200:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < intersetv.size(); j++) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/io.h:15:0, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:231:44: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:254:44: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/graph/transform/compact.cc:146:59: required from here /root/jenkins/workspace/dgl_PR-4085/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) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/io.h:15:0, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:133:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:135:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:151:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:169:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:178:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:180:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:182:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < node_assignments[v].size(); j++) { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:187:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < node_assignments[u].size(); j++) { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:200:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < intersetv.size(); j++) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/io.h:15:0, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:231:44: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:254:44: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/src/graph/transform/compact.cc:154:59: required from here /root/jenkins/workspace/dgl_PR-4085/src/graph/transform/compact.cc:72:24: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] In file included from /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm.h:18:0, from /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:6: /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/graph/heterograph_capi.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/cpu/spmm.cc:138:76: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:325:11: warning: unused variable 'message_size' [-Wunused-variable] int64_t message_size = args[0]; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/cpu/spmm.cc:142:76: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/cpu/spmm.cc:146:76: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/cpu/spmm.cc:150:76: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/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) { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/cpu/spmm.cc:158:49: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ In file included from /root/jenkins/workspace/dgl_PR-4085/include/dgl/array.h:13:0, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/graph_interface.h:16, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4085/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4085/src/graph/sampler.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4085/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-4085/include/dgl/./aten/macro.h:121:6: note: in definition of macro 'ATEN_FLOAT_TYPE_SWITCH' {__VA_ARGS__} \ ^ /root/jenkins/workspace/dgl_PR-4085/src/graph/sampler.cc:938:11: note: in expansion of macro 'CHECK' CHECK(probability->shape[0] == gptr->NumEdges()) ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/include/dgl/./aten/macro.h:124:6: note: in definition of macro 'ATEN_FLOAT_TYPE_SWITCH' {__VA_ARGS__} \ ^ /root/jenkins/workspace/dgl_PR-4085/src/graph/sampler.cc:938:11: note: in expansion of macro 'CHECK' CHECK(probability->shape[0] == gptr->NumEdges()) ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ In file included from /root/jenkins/workspace/dgl_PR-4085/third_party/dmlc-core/include/dmlc/logging.h:132:0, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/./runtime/object.h:9, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/graph_interface.h:15, from /root/jenkins/workspace/dgl_PR-4085/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4085/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:165:49: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/cpu/spmm.cc:172:49: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmat_op_impl_coo.cc: In instantiation of 'dgl::aten::CSRMatrix dgl::aten::impl::{anonymous}::SortedCOOToCSR(const dgl::aten::COOMatrix&) [with IdType = int]': /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmat_op_impl_coo.cc:633:32: required from 'dgl::aten::CSRMatrix dgl::aten::impl::COOToCSR(dgl::aten::COOMatrix) [with DLDeviceType XPU = (DLDeviceType)1u; IdType = int]' /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmat_op_impl_coo.cc:636:59: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmat_op_impl_coo.cc:311:23: warning: unused variable 'col_data' [-Wunused-variable] const IdType *const col_data = static_cast(coo.col->data); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmat_op_impl_coo.cc: In instantiation of 'dgl::aten::CSRMatrix dgl::aten::impl::{anonymous}::SortedCOOToCSR(const dgl::aten::COOMatrix&) [with IdType = long int]': /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmat_op_impl_coo.cc:633:32: required from 'dgl::aten::CSRMatrix dgl::aten::impl::COOToCSR(dgl::aten::COOMatrix) [with DLDeviceType XPU = (DLDeviceType)1u; IdType = long int]' /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmat_op_impl_coo.cc:637:59: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmat_op_impl_coo.cc:311:23: warning: unused variable 'col_data' [-Wunused-variable] /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/cpu/spmm.cc:179:49: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/cpu/spmm.cc:186:49: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/cpu/spmm.cc:193:49: required from here /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085/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-4085/src/array/libra_partition.cc:395:43: 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-4085/src/array/libra_partition.cc: In function 'int32_t dgl::aten::Ver2partition(IdType, int64_t*, int32_t) [with IdType = long int; int32_t = int; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4085/src/array/libra_partition.cc:43:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ In file included from /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:6:0: /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085/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-4085/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; ^ 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-4085\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\cpu\traversal.cc" traversal.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\array\union_partition.cc" union_partition.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\transform\cpu\knn.cc" knn.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\transform\knn.cc" knn.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\transform\union_partition.cc" union_partition.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] /usr/bin/ar: creating lib/libxsmm.a /usr/bin/ar: creating lib/libxsmmext.a /usr/bin/ar: creating lib/libxsmmf.a ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@ec7c197d42d5) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 5.4.0, g++ 5.4.0, and gfortran 5.4.0 C / C++ target: -msse4.2 Fortran target: -msse4.2 -------------------------------------------------------------------------------- BLAS dependency and fallback is removed! -------------------------------------------------------------------------------- [ 50%] Built target libxsmm 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-4085\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\traversal.cc" traversal.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] 18>PreLinkEvent: Auto build dll exports setlocal cd C:\Jenkins\workspace\dgl_PR-4085\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-4085/build/dgl.dir/Release/exports.def C:/Jenkins/workspace/dgl_PR-4085/build/dgl.dir/Release//objects.txt if %errorlevel% neq 0 goto :cmEnd :cmEnd endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone :cmErrorLevel exit /b %1 :cmDone if %errorlevel% neq 0 goto :VCEnd :VCEnd Link: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\link.exe /ERRORREPORT:QUEUE /OUT:"C:\Jenkins\workspace\dgl_PR-4085\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-4085/build/dgl.dir/Release/exports.def" /MANIFEST /MANIFESTUAC:"level='asInvoker' uiAccess='false'" /manifest:embed /PDB:"C:/Jenkins/workspace/dgl_PR-4085/build/Release/dgl.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4085/build/Release/dgl.lib" /MACHINE:X64 /machine:x64 /DLL dgl.dir\Release\array.obj dgl.dir\Release\array_arith.obj dgl.dir\Release\array_cumsum.obj dgl.dir\Release\array_index_select.obj dgl.dir\Release\array_nonzero.obj dgl.dir\Release\array_op_impl.obj dgl.dir\Release\array_pack.obj dgl.dir\Release\array_repeat.obj dgl.dir\Release\array_scatter.obj dgl.dir\Release\array_sort.obj dgl.dir\Release\coo_coalesce.obj dgl.dir\Release\coo_linegraph.obj dgl.dir\Release\coo_remove.obj dgl.dir\Release\coo_sort.obj dgl.dir\Release\csr_get_data.obj dgl.dir\Release\csr_mm.obj dgl.dir\Release\csr_remove.obj dgl.dir\Release\csr_sort.obj dgl.dir\Release\csr_sum.obj dgl.dir\Release\csr_to_simple.obj dgl.dir\Release\csr_union.obj dgl.dir\Release\disjoint_union.obj dgl.dir\Release\gather_mm.obj dgl.dir\Release\negative_sampling.obj dgl.dir\Release\rowwise_sampling.obj dgl.dir\Release\rowwise_topk.obj dgl.dir\Release\sddmm.obj dgl.dir\Release\segment_reduce.obj dgl.dir\Release\spmat_op_impl_coo.obj dgl.dir\Release\spmat_op_impl_csr.obj dgl.dir\Release\spmm.obj dgl.dir\Release\filter.obj dgl.dir\Release\kernel.obj dgl.dir\Release\libra_partition.obj dgl.dir\Release\uvm_array.obj dgl.dir\Release\bcast.obj dgl.dir\Release\c_api_common.obj dgl.dir\Release\async_transferer.obj dgl.dir\Release\geometry_op_impl.obj dgl.dir\Release\geometry.obj dgl.dir\Release\ndarray_partition.obj dgl.dir\Release\choice.obj dgl.dir\Release\random.obj dgl.dir\Release\c_object_api.obj dgl.dir\Release\c_runtime_api.obj dgl.dir\Release\cpu_device_api.obj dgl.dir\Release\dso_module.obj dgl.dir\Release\file_util.obj dgl.dir\Release\module.obj dgl.dir\Release\module_util.obj dgl.dir\Release\ndarray.obj dgl.dir\Release\object.obj dgl.dir\Release\registry.obj dgl.dir\Release\resource_manager.obj dgl.dir\Release\semaphore_wrapper.obj dgl.dir\Release\shared_mem.obj dgl.dir\Release\system_lib_module.obj dgl.dir\Release\tensordispatch.obj dgl.dir\Release\thread_pool.obj dgl.dir\Release\threading_backend.obj dgl.dir\Release\utils.obj dgl.dir\Release\workspace_pool.obj dgl.dir\Release\api_container.obj dgl.dir\Release\api_test.obj dgl.dir\Release\creators.obj dgl.dir\Release\gk_ops.obj dgl.dir\Release\graph.obj dgl.dir\Release\graph_apis.obj dgl.dir\Release\graph_op.obj dgl.dir\Release\graph_traversal.obj dgl.dir\Release\heterograph.obj dgl.dir\Release\heterograph_capi.obj dgl.dir\Release\immutable_graph.obj dgl.dir\Release\metis_partition.obj dgl.dir\Release\network.obj dgl.dir\Release\nodeflow.obj dgl.dir\Release\pickle.obj dgl.dir\Release\sampler.obj dgl.dir\Release\global_uniform.obj dgl.dir\Release\neighbor.obj dgl.dir\Release\get_node_types_cpu.obj dgl.dir\Release\node2vec.obj dgl.dir\Release\node2vec_cpu.obj dgl.dir\Release\randomwalk_cpu.obj dgl.dir\Release\randomwalk_with_restart_cpu.obj dgl.dir\Release\randomwalks.obj dgl.dir\Release\dglgraph_serialize.obj dgl.dir\Release\graph_serialize.obj dgl.dir\Release\heterograph_serialize.obj dgl.dir\Release\tensor_serialize.obj dgl.dir\Release\zerocopy_serializer.obj dgl.dir\Release\shared_mem_manager.obj dgl.dir\Release\subgraph.obj dgl.dir\Release\compact.obj dgl.dir\Release\line_graph.obj dgl.dir\Release\metis_partition_hetero.obj dgl.dir\Release\partition_hetero.obj dgl.dir\Release\remove_edges.obj dgl.dir\Release\to_bipartite.obj dgl.dir\Release\to_simple.obj dgl.dir\Release\unit_graph.obj dgl.dir\Release\scheduler.obj dgl.dir\Release\scheduler_apis.obj dgl.dir\Release\common.obj dgl.dir\Release\msg_queue.obj dgl.dir\Release\socket_communicator.obj dgl.dir\Release\socket_pool.obj dgl.dir\Release\tcp_socket.obj dgl.dir\Release\/src/array/cpu/traversal.cc.obj dgl.dir\Release\/src/array/union_partition.cc.obj dgl.dir\Release\/src/graph/transform/cpu/knn.cc.obj dgl.dir\Release\/src/graph/transform/knn.cc.obj dgl.dir\Release\/src/graph/transform/union_partition.cc.obj dgl.dir\Release\/src/graph/traversal.cc.obj Creating library C:/Jenkins/workspace/dgl_PR-4085/build/Release/dgl.lib and object C:/Jenkins/workspace/dgl_PR-4085/build/Release/dgl.exp dgl.vcxproj -> C:\Jenkins\workspace\dgl_PR-4085\build\Release\dgl.dll PostBuildEvent: setlocal "C:\Program Files\CMake\bin\cmake.exe" -E copy C:/Jenkins/workspace/dgl_PR-4085/build/Release/dgl.dll C:/Jenkins/workspace/dgl_PR-4085/build/Release/.. if %errorlevel% neq 0 goto :cmEnd :cmEnd endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone :cmErrorLevel exit /b %1 :cmDone if %errorlevel% neq 0 goto :VCEnd :VCEnd FinalizeBuildStatus: Deleting file "dgl.dir\Release\dgl.tlog\unsuccessfulbuild". Touching "dgl.dir\Release\dgl.tlog\dgl.lastbuildstate". 18>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj" (default targets). 3>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj.metaproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj.metaproj" (9) on node 1 (default targets). 9>Project "C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj.metaproj" (9) is building "C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj" (19) on node 3 (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-4085/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-4085\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4085\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\graph_index_test.cc" "C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\message_queue_test.cc" "C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\socket_communicator_test.cc" "C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\string_test.cc" "C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_aten.cc" "C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_csrmm.cc" "C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_partition.cc" "C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_rowwise.cc" "C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_sampler.cc" "C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_smart_ptr_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_spmat_coo.cc" "C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_spmat_csr.cc" "C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_spmm.cc" "C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_unit_graph.cc" "C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_zerocopy_serialize.cc" graph_index_test.cc message_queue_test.cc socket_communicator_test.cc string_test.cc test_aten.cc test_csrmm.cc test_partition.cc test_rowwise.cc test_sampler.cc test_serialize.cc test_smart_ptr_serialize.cc test_spmat_coo.cc test_spmat_csr.cc test_spmm.cc test_unit_graph.cc test_zerocopy_serialize.cc 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\graph_index_test.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\graph_index_test.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_spmat_coo.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_spmat_coo.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_unit_graph.cc(137,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_unit_graph.cc(399): message : see reference to function template instantiation 'void _TestUnitGraph(DLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_unit_graph.cc(139,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_unit_graph.cc(142,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_unit_graph.cc(144,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_partition.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_partition.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_spmat_csr.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_spmat_csr.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_zerocopy_serialize.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_zerocopy_serialize.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_serialize.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_serialize.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\runUnitTests.vcxproj] with [ _Ty=int ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\runUnitTests.vcxproj] with [ _Ty=float, _FwdIt=std::_Vector_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\runUnitTests.vcxproj] with [ Idx=int64_t, DType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\runUnitTests.vcxproj] with [ Idx=int64_t, DType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_sampler.cc(86): message : see reference to class template instantiation 'dgl::utils::TreeSampler' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] with [ Idx=int64_t, DType=float ] C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_sampler.cc(99): message : see reference to function template instantiation 'void _TestWithoutReplacementOrder(dgl::RandomEngine *)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_aten.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_aten.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_csrmm.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_csrmm.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_rowwise.cc) C:\Jenkins\workspace\dgl_PR-4085\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_rowwise.cc) C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] In file included from /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm.h:23:0, from /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/spmm.cc:6: /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_blocking_libxsmm.h: In function '': /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_blocking_libxsmm.h:125:13: warning: 'my_indices_block_buf' may be used uninitialized in this function [-Wmaybe-uninitialized] cur_csr_indices = my_indices_block_buf + cur_indices_id; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_blocking_libxsmm.h:105:17: note: 'my_indices_block_buf' was declared here IdType *my_indices_block_buf, *my_edges_block_buf; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_blocking_libxsmm.h:127:13: warning: 'my_edges_block_buf' may be used uninitialized in this function [-Wmaybe-uninitialized] cur_csr_edges = my_edges_block_buf + cur_indices_id; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_blocking_libxsmm.h:105:40: note: 'my_edges_block_buf' was declared here IdType *my_indices_block_buf, *my_edges_block_buf; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_blocking_libxsmm.h: In function '': /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_blocking_libxsmm.h:125:13: warning: 'my_indices_block_buf' may be used uninitialized in this function [-Wmaybe-uninitialized] cur_csr_indices = my_indices_block_buf + cur_indices_id; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_blocking_libxsmm.h:105:17: note: 'my_indices_block_buf' was declared here IdType *my_indices_block_buf, *my_edges_block_buf; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_blocking_libxsmm.h:127:13: warning: 'my_edges_block_buf' may be used uninitialized in this function [-Wmaybe-uninitialized] cur_csr_edges = my_edges_block_buf + cur_indices_id; ^ /root/jenkins/workspace/dgl_PR-4085/src/array/cpu/./spmm_blocking_libxsmm.h:105:40: note: 'my_edges_block_buf' was declared here IdType *my_indices_block_buf, *my_edges_block_buf; ^ 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-4085\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-4085/build/Release/runUnitTests.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4085/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-4085/build/Release/runUnitTests.lib and object C:/Jenkins/workspace/dgl_PR-4085/build/Release/runUnitTests.exp runUnitTests.vcxproj -> C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\runUnitTests.vcxproj" (default targets). 9>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj.metaproj" (default targets). 2>Project "C:\Jenkins\workspace\dgl_PR-4085\build\ALL_BUILD.vcxproj.metaproj" (2) is building "C:\Jenkins\workspace\dgl_PR-4085\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-4085/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-4085\build\ALL_BUILD.vcxproj" (default targets). 2>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\ALL_BUILD.vcxproj.metaproj" (default targets). 1>Done Building Project "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (default targets). Build succeeded. "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (default target) (4) -> "C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj" (default target) (16) -> (ClCompile target) -> C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\filesys.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\line_split.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\indexed_recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\input_split_base.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\third_party\dmlc-core\src\io\local_filesys.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\third_party\dmlc-core\dmlc.vcxproj] "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj.metaproj" (default target) (10) -> "C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj" (default target) (12) -> (CustomBuild target) -> CUSTOMBUILD : CMake warning : [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4085\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4085\build\tensoradapter_pytorch.vcxproj] "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj" (default target) (18) -> (ClCompile target) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampler.cc(1526,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampler.cc(1751,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 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-4085\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 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-4085\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\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-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] 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-4085\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4085\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4085\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4085\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj.metaproj" (default target) (9) -> "C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_unit_graph.cc(137,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_unit_graph.cc(139,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_unit_graph.cc(142,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4085\tests\cpp\test_unit_graph.cc(144,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\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-4085\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4085\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-4085\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4085\build\runUnitTests.vcxproj] 288 Warning(s) 0 Error(s) Time Elapsed 00:00:58.82 1 file(s) copied. Could Not Find C:\Jenkins\workspace\dgl_PR-4085\python\build Obtaining file:///C:/Jenkins/workspace/dgl_PR-4085/python Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Requirement already satisfied: numpy>=1.14.0 in c:\program files\python36\lib\site-packages (from dgl==0.9) (1.19.5) Requirement already satisfied: scipy>=1.1.0 in c:\program files\python36\lib\site-packages (from dgl==0.9) (1.2.0) Requirement already satisfied: networkx>=2.1 in c:\program files\python36\lib\site-packages (from dgl==0.9) (2.2) Requirement already satisfied: requests>=2.19.0 in c:\program files\python36\lib\site-packages (from dgl==0.9) (2.24.0) Requirement already satisfied: tqdm in c:\program files\python36\lib\site-packages (from dgl==0.9) (4.58.0) Collecting psutil>=5.8.0 Using cached psutil-5.9.1-cp36-cp36m-win_amd64.whl (248 kB) Requirement already satisfied: decorator>=4.3.0 in c:\program files\python36\lib\site-packages (from networkx>=2.1->dgl==0.9) (4.4.2) Requirement already satisfied: 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: chardet<4,>=3.0.2 in c:\program files\python36\lib\site-packages (from requests>=2.19.0->dgl==0.9) (3.0.4) Requirement already satisfied: 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: certifi>=2017.4.17 in c:\program files\python36\lib\site-packages (from requests>=2.19.0->dgl==0.9) (2020.6.20) Installing collected packages: psutil, dgl Running setup.py develop for dgl Successfully installed dgl psutil-5.9.1 [Pipeline] echo Packing build\dgl.dll, build\runUnitTests.exe, build\tensoradapter\pytorch\*.dll into dgl-cpu-win64 [Pipeline] stash Stashed 3 file(s) Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } [ 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_server.dir/tests/dist/cpp/rpc_server.cc.o [ 92%] Building CXX object CMakeFiles/rpc_client.dir/tests/dist/cpp/rpc_client.cc.o Scanning dependencies of target runUnitTests [ 92%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/string_test.cc.o [ 92%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_csrmm.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_rowwise.cc.o [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/socket_communicator_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_partition.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_csr.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_sampler.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_smart_ptr_serialize.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_unit_graph.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/message_queue_test.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_aten.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_serialize.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_spmm.cc.o /root/jenkins/workspace/dgl_PR-4085/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4085/tests/dist/cpp/rpc_client.cc:50:15: warning: unused variable 'num_machines' [-Wunused-variable] const int num_machines = ips_.size(); ^ [ 97%] Linking CXX executable rpc_server [ 98%] Linking CXX executable rpc_client [ 98%] Built target rpc_server [ 98%] Built target rpc_client [100%] Linking CXX executable runUnitTests [100%] Built target runUnitTests ~/jenkins/workspace/dgl_PR-4085 ~/jenkins/workspace/dgl_PR-4085/python ~/jenkins/workspace/dgl_PR-4085 WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.6 creating build/lib.linux-x86_64-3.6/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.6/dgl creating build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.6/dgl/geometry creating build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.6/dgl/function creating build/lib.linux-x86_64-3.6/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn creating build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib creating build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.6/dgl/utils creating build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing creating build/lib.linux-x86_64-3.6/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim creating build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading creating build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading creating build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.6/dgl/backend creating build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.6/dgl/ops creating build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.6/dgl/cuda creating build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.6/dgl/storages creating build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/sampling creating build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.6/dgl/data creating build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/distributed creating build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate creating build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.6/dgl/transforms creating build/lib.linux-x86_64-3.6/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn creating build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/functional creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling creating build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data creating build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet creating build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn creating build/lib.linux-x86_64-3.6/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition creating build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools creating build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.6 creating build/temp.linux-x86_64-3.6/dgl creating build/temp.linux-x86_64-3.6/dgl/_ffi creating build/temp.linux-x86_64-3.6/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/pytorch-ci/include/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -pthread -shared -B /opt/conda/envs/pytorch-ci/compiler_compat -L/opt/conda/envs/pytorch-ci/lib -Wl,-rpath=/opt/conda/envs/pytorch-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-36.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-36.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.9-py3.6-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.9-py3.6-linux-x86_64.egg creating /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Extracting dgl-0.9-py3.6-linux-x86_64.egg to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Processing dependencies for dgl==0.9 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/6b/76/a8cb69ed3566877dcbccf408f5f9d6055227ad4fed694e88809fa8506b0b/psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=068935df39055bf27a29824b95c801c7a5130f118b806eee663cad28dca97685 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/psutil-5.9.1-py3.6-linux-x86_64.egg Searching for tqdm==4.62.3 Best match: tqdm 4.62.3 Adding tqdm 4.62.3 to easy-install.pth file Installing tqdm script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for requests==2.27.1 Best match: requests 2.27.1 Adding requests 2.27.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for networkx==2.5.1 Best match: networkx 2.5.1 Adding networkx 2.5.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for scipy==1.5.4 Best match: scipy 1.5.4 Adding scipy 1.5.4 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for numpy==1.19.5 Best match: numpy 1.19.5 Adding numpy 1.19.5 to easy-install.pth file Installing f2py script to /opt/conda/envs/pytorch-ci/bin Installing f2py3 script to /opt/conda/envs/pytorch-ci/bin Installing f2py3.6 script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for certifi==2021.5.30 Best match: certifi 2021.5.30 Adding certifi 2021.5.30 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for urllib3==1.26.8 Best match: urllib3 1.26.8 Adding urllib3 1.26.8 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for charset-normalizer==2.0.12 Best match: charset-normalizer 2.0.12 Adding charset-normalizer 2.0.12 to easy-install.pth file Installing normalizer script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for decorator==4.4.2 Best match: decorator 4.4.2 Adding decorator 4.4.2 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4085/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/pytorch-ci/include/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -pthread -shared -B /opt/conda/envs/pytorch-ci/compiler_compat -L/opt/conda/envs/pytorch-ci/lib -Wl,-rpath=/opt/conda/envs/pytorch-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4085/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.6 creating build/lib.linux-x86_64-3.6/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.6/dgl creating build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.6/dgl/geometry creating build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.6/dgl/function creating build/lib.linux-x86_64-3.6/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn creating build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib creating build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.6/dgl/utils creating build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing creating build/lib.linux-x86_64-3.6/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim creating build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading creating build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading creating build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.6/dgl/backend creating build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.6/dgl/ops creating build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.6/dgl/cuda creating build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.6/dgl/storages creating build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/sampling creating build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.6/dgl/data creating build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/distributed creating build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate creating build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.6/dgl/transforms creating build/lib.linux-x86_64-3.6/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn creating build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/functional creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling creating build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data creating build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet creating build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn creating build/lib.linux-x86_64-3.6/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition creating build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools creating build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.6 creating build/temp.linux-x86_64-3.6/dgl creating build/temp.linux-x86_64-3.6/dgl/_ffi creating build/temp.linux-x86_64-3.6/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/mxnet-ci/include/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -pthread -shared -B /opt/conda/envs/mxnet-ci/compiler_compat -L/opt/conda/envs/mxnet-ci/lib -Wl,-rpath=/opt/conda/envs/mxnet-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-36.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-36.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.9-py3.6-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.9-py3.6-linux-x86_64.egg creating /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Extracting dgl-0.9-py3.6-linux-x86_64.egg to /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Processing dependencies for dgl==0.9 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/6b/76/a8cb69ed3566877dcbccf408f5f9d6055227ad4fed694e88809fa8506b0b/psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=068935df39055bf27a29824b95c801c7a5130f118b806eee663cad28dca97685 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/psutil-5.9.1-py3.6-linux-x86_64.egg Searching for tqdm==4.62.3 Best match: tqdm 4.62.3 Adding tqdm 4.62.3 to easy-install.pth file Installing tqdm script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for requests==2.27.1 Best match: requests 2.27.1 Adding requests 2.27.1 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for networkx==2.5.1 Best match: networkx 2.5.1 Adding networkx 2.5.1 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for scipy==1.5.4 Best match: scipy 1.5.4 Adding scipy 1.5.4 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for numpy==1.19.5 Best match: numpy 1.19.5 Adding numpy 1.19.5 to easy-install.pth file Installing f2py script to /opt/conda/envs/mxnet-ci/bin Installing f2py3 script to /opt/conda/envs/mxnet-ci/bin Installing f2py3.6 script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for urllib3==1.26.8 Best match: urllib3 1.26.8 Adding urllib3 1.26.8 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for certifi==2021.5.30 Best match: certifi 2021.5.30 Adding certifi 2021.5.30 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for charset-normalizer==2.0.12 Best match: charset-normalizer 2.0.12 Adding charset-normalizer 2.0.12 to easy-install.pth file Installing normalizer script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for decorator==4.4.2 Best match: decorator 4.4.2 Adding decorator 4.4.2 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4085/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/mxnet-ci/include/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -pthread -shared -B /opt/conda/envs/mxnet-ci/compiler_compat -L/opt/conda/envs/mxnet-ci/lib -Wl,-rpath=/opt/conda/envs/mxnet-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4085/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.6 creating build/lib.linux-x86_64-3.6/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.6/dgl creating build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.6/dgl/geometry creating build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.6/dgl/function creating build/lib.linux-x86_64-3.6/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn creating build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib creating build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.6/dgl/utils creating build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing creating build/lib.linux-x86_64-3.6/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim creating build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading creating build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading creating build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.6/dgl/backend creating build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.6/dgl/ops creating build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.6/dgl/cuda creating build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.6/dgl/storages creating build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/sampling creating build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.6/dgl/data creating build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/distributed creating build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate creating build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.6/dgl/transforms creating build/lib.linux-x86_64-3.6/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn creating build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/functional creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling creating build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data creating build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet creating build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn creating build/lib.linux-x86_64-3.6/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition creating build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools creating build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.6 creating build/temp.linux-x86_64-3.6/dgl creating build/temp.linux-x86_64-3.6/dgl/_ffi creating build/temp.linux-x86_64-3.6/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/tensorflow-ci/include/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -pthread -shared -B /opt/conda/envs/tensorflow-ci/compiler_compat -L/opt/conda/envs/tensorflow-ci/lib -Wl,-rpath=/opt/conda/envs/tensorflow-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-36.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-36.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.9-py3.6-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.9-py3.6-linux-x86_64.egg creating /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Extracting dgl-0.9-py3.6-linux-x86_64.egg to /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Processing dependencies for dgl==0.9 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/6b/76/a8cb69ed3566877dcbccf408f5f9d6055227ad4fed694e88809fa8506b0b/psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=068935df39055bf27a29824b95c801c7a5130f118b806eee663cad28dca97685 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/psutil-5.9.1-py3.6-linux-x86_64.egg Searching for tqdm==4.62.3 Best match: tqdm 4.62.3 Adding tqdm 4.62.3 to easy-install.pth file Installing tqdm script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for requests==2.27.1 Best match: requests 2.27.1 Adding requests 2.27.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for networkx==2.5.1 Best match: networkx 2.5.1 Adding networkx 2.5.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for scipy==1.4.1 Best match: scipy 1.4.1 Adding scipy 1.4.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for numpy==1.19.5 Best match: numpy 1.19.5 Adding numpy 1.19.5 to easy-install.pth file Installing f2py script to /opt/conda/envs/tensorflow-ci/bin Installing f2py3 script to /opt/conda/envs/tensorflow-ci/bin Installing f2py3.6 script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for certifi==2021.5.30 Best match: certifi 2021.5.30 Adding certifi 2021.5.30 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for charset-normalizer==2.0.12 Best match: charset-normalizer 2.0.12 Adding charset-normalizer 2.0.12 to easy-install.pth file Installing normalizer script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for urllib3==1.26.8 Best match: urllib3 1.26.8 Adding urllib3 1.26.8 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for decorator==4.4.2 Best match: decorator 4.4.2 Adding decorator 4.4.2 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4085/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/tensorflow-ci/include/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -pthread -shared -B /opt/conda/envs/tensorflow-ci/compiler_compat -L/opt/conda/envs/tensorflow-ci/lib -Wl,-rpath=/opt/conda/envs/tensorflow-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4085/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) ~/jenkins/workspace/dgl_PR-4085 [Pipeline] sh + ls -lh /usr/lib/x86_64-linux-gnu/ total 318M -rw-r--r-- 1 root root 496 Feb 5 2019 Mcrt1.o -rw-r--r-- 1 root root 1.8K Feb 5 2019 Scrt1.o drwxr-xr-x 2 root root 4.0K Feb 12 2020 audit drwxr-xr-x 2 root root 4.0K Mar 26 2020 avahi drwxr-xr-x 2 root root 4.0K Feb 12 2020 coreutils -rw-r--r-- 1 root root 1.7K Feb 5 2019 crt1.o -rw-r--r-- 1 root root 1.3K Feb 5 2019 crti.o -rw-r--r-- 1 root root 968 Feb 5 2019 crtn.o drwxr-xr-x 2 root root 4.0K Mar 26 2020 dri drwxr-xr-x 2 root root 12K Feb 12 2020 gconv -rw-r--r-- 1 root root 2.5K Feb 5 2019 gcrt1.o drwxr-xr-x 3 root root 4.0K Mar 26 2020 gdk-pixbuf-2.0 drwxr-xr-x 3 root root 4.0K Mar 26 2020 gio drwxr-xr-x 2 root root 4.0K Mar 26 2020 girepository-1.0 drwxr-xr-x 3 root root 4.0K Mar 26 2020 glib-2.0 drwxr-xr-x 4 root root 4.0K Mar 26 2020 gtk-2.0 drwxr-xr-x 3 root root 4.0K Mar 26 2020 icu drwxr-xr-x 3 root root 4.0K Mar 26 2020 krb5 -rw-r--r-- 1 root root 1.6K Feb 5 2019 libBrokenLocale.a lrwxrwxrwx 1 root root 42 Feb 5 2019 libBrokenLocale.so -> /lib/x86_64-linux-gnu/libBrokenLocale.so.1 lrwxrwxrwx 1 root root 15 Oct 23 2015 libGLU.so.1 -> libGLU.so.1.3.1 -rw-r--r-- 1 root root 443K Oct 23 2015 libGLU.so.1.3.1 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 -rw-r--r-- 1 root root 154K Jul 13 2014 libICE.a lrwxrwxrwx 1 root root 15 Jul 13 2014 libICE.so -> libICE.so.6.3.0 lrwxrwxrwx 1 root root 15 Jul 13 2014 libICE.so.6 -> libICE.so.6.3.0 -rw-r--r-- 1 root root 92K Jul 13 2014 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 -> 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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 16 Jun 7 2018 libLLVM-6.0.so -> libLLVM-6.0.so.1 -rw-r--r-- 1 root root 58M Jun 7 2018 libLLVM-6.0.so.1 -rw-r--r-- 1 root root 46K Jul 13 2014 libSM.a lrwxrwxrwx 1 root root 14 Jul 13 2014 libSM.so -> libSM.so.6.0.1 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 Aug 30 2018 libX11-xcb.so.1 -> libX11-xcb.so.1.0.0 -rw-r--r-- 1 root root 5.9K Aug 30 2018 libX11-xcb.so.1.0.0 -rw-r--r-- 1 root root 2.2M Aug 30 2018 libX11.a lrwxrwxrwx 1 root root 15 Aug 30 2018 libX11.so -> libX11.so.6.3.0 lrwxrwxrwx 1 root root 15 Aug 30 2018 libX11.so.6 -> libX11.so.6.3.0 -rw-r--r-- 1 root root 1.3M Aug 30 2018 libX11.so.6.3.0 -rw-r--r-- 1 root root 19K Jun 15 2013 libXau.a lrwxrwxrwx 1 root root 15 Jun 15 2013 libXau.so -> libXau.so.6.0.0 lrwxrwxrwx 1 root root 15 Jun 15 2013 libXau.so.6 -> libXau.so.6.0.0 -rw-r--r-- 1 root root 15K Jun 15 2013 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 -rw-r--r-- 1 root root 7.7K Jun 16 2013 libXcomposite.a lrwxrwxrwx 1 root root 22 Jun 16 2013 libXcomposite.so -> libXcomposite.so.1.0.0 lrwxrwxrwx 1 root root 22 Jun 16 2013 libXcomposite.so.1 -> libXcomposite.so.1.0.0 -rw-r--r-- 1 root root 10K Jun 16 2013 libXcomposite.so.1.0.0 -rw-r--r-- 1 root root 54K Aug 2 2018 libXcursor.a lrwxrwxrwx 1 root root 19 Aug 2 2018 libXcursor.so -> libXcursor.so.1.0.2 lrwxrwxrwx 1 root root 19 Aug 2 2018 libXcursor.so.1 -> libXcursor.so.1.0.2 -rw-r--r-- 1 root root 39K Aug 2 2018 libXcursor.so.1.0.2 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libXfixes.so.3.1.0 -rw-r--r-- 1 root root 127K Jul 13 2014 libXft.a lrwxrwxrwx 1 root root 15 Jul 13 2014 libXft.so -> libXft.so.2.3.2 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 -rw-r--r-- 1 root root 157K Jan 24 2016 libXi.a lrwxrwxrwx 1 root root 14 Jan 24 2016 libXi.so -> libXi.so.6.1.0 lrwxrwxrwx 1 root root 14 Jan 24 2016 libXi.so.6 -> libXi.so.6.1.0 -rw-r--r-- 1 root root 63K Jan 24 2016 libXi.so.6.1.0 -rw-r--r-- 1 root root 6.8K Jun 30 2013 libXinerama.a lrwxrwxrwx 1 root root 20 Jun 30 2013 libXinerama.so -> libXinerama.so.1.0.0 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 Jan 25 2017 libXpm.so.4 -> libXpm.so.4.11.0 -rw-r--r-- 1 root root 71K Jan 25 2017 libXpm.so.4.11.0 -rw-r--r-- 1 root root 64K Aug 3 2015 libXrandr.a lrwxrwxrwx 1 root root 18 Aug 3 2015 libXrandr.so -> libXrandr.so.2.2.0 lrwxrwxrwx 1 root root 18 Aug 3 2015 libXrandr.so.2 -> libXrandr.so.2.2.0 -rw-r--r-- 1 root root 43K Aug 3 2015 libXrandr.so.2.2.0 -rw-r--r-- 1 root root 60K Jul 14 2015 libXrender.a lrwxrwxrwx 1 root root 19 Jul 14 2015 libXrender.so -> libXrender.so.1.3.0 lrwxrwxrwx 1 root root 19 Jul 14 2015 libXrender.so.1 -> libXrender.so.1.3.0 -rw-r--r-- 1 root root 39K Jul 14 2015 libXrender.so.1.3.0 lrwxrwxrwx 1 root root 14 Jul 14 2015 libXt.so.6 -> libXt.so.6.0.0 -rw-r--r-- 1 root root 417K Jul 14 2015 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 -rw-r--r-- 1 root root 22K Feb 5 2019 libanl.a lrwxrwxrwx 1 root root 33 Feb 5 2019 libanl.so -> /lib/x86_64-linux-gnu/libanl.so.1 lrwxrwxrwx 1 root root 20 May 21 2019 libapt-inst.so.2.0 -> libapt-inst.so.2.0.0 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libavahi-client.so.3 -> libavahi-client.so.3.2.9 -rw-r--r-- 1 root root 67K Jan 30 2019 libavahi-client.so.3.2.9 lrwxrwxrwx 1 root root 24 Jan 30 2019 libavahi-common.so.3 -> libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 47K Jan 30 2019 libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 17M Aug 23 2018 libavcodec-ffmpeg.a lrwxrwxrwx 1 root root 30 Aug 23 2018 libavcodec-ffmpeg.so -> libavcodec-ffmpeg.so.56.60.100 lrwxrwxrwx 1 root root 30 Aug 23 2018 libavcodec-ffmpeg.so.56 -> libavcodec-ffmpeg.so.56.60.100 -rw-r--r-- 1 root root 12M Aug 23 2018 libavcodec-ffmpeg.so.56.60.100 lrwxrwxrwx 1 root root 19 Aug 23 2018 libavcodec.a -> libavcodec-ffmpeg.a lrwxrwxrwx 1 root root 20 Aug 23 2018 libavcodec.so -> libavcodec-ffmpeg.so -rw-r--r-- 1 root root 4.1M Aug 23 2018 libavformat-ffmpeg.a lrwxrwxrwx 1 root root 31 Aug 23 2018 libavformat-ffmpeg.so -> libavformat-ffmpeg.so.56.40.101 lrwxrwxrwx 1 root root 31 Aug 23 2018 libavformat-ffmpeg.so.56 -> libavformat-ffmpeg.so.56.40.101 -rw-r--r-- 1 root root 2.0M Aug 23 2018 libavformat-ffmpeg.so.56.40.101 lrwxrwxrwx 1 root root 20 Aug 23 2018 libavformat.a -> libavformat-ffmpeg.a lrwxrwxrwx 1 root root 21 Aug 23 2018 libavformat.so -> libavformat-ffmpeg.so -rw-r--r-- 1 root root 573K Aug 23 2018 libavutil-ffmpeg.a lrwxrwxrwx 1 root root 29 Aug 23 2018 libavutil-ffmpeg.so -> libavutil-ffmpeg.so.54.31.100 lrwxrwxrwx 1 root root 29 Aug 23 2018 libavutil-ffmpeg.so.54 -> libavutil-ffmpeg.so.54.31.100 -rw-r--r-- 1 root root 367K Aug 23 2018 libavutil-ffmpeg.so.54.31.100 lrwxrwxrwx 1 root root 18 Aug 23 2018 libavutil.a -> libavutil-ffmpeg.a lrwxrwxrwx 1 root root 19 Aug 23 2018 libavutil.so -> libavutil-ffmpeg.so lrwxrwxrwx 1 root root 23 Dec 7 2018 libbfd-2.26-system.so -> libbfd-2.26.1-system.so -rw-r--r-- 1 root root 1.3M Dec 7 2018 libbfd-2.26.1-system.so lrwxrwxrwx 1 root root 18 Jan 4 2016 libbluray.so.1 -> libbluray.so.1.9.2 -rw-r--r-- 1 root root 291K Jan 4 2016 libbluray.so.1.9.2 -rw-r--r-- 1 root root 4.9M Feb 5 2019 libc.a 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-rw-r--r-- 1 root root 1.1M Jan 10 2016 libcairo.so.2.11400.6 lrwxrwxrwx 1 root root 15 Oct 4 2019 libcc1.so.0 -> libcc1.so.0.0.0 -rw-r--r-- 1 root root 91K Oct 4 2019 libcc1.so.0.0.0 lrwxrwxrwx 1 root root 34 Feb 5 2019 libcidn.so -> /lib/x86_64-linux-gnu/libcidn.so.1 lrwxrwxrwx 1 root root 19 Oct 4 2019 libcilkrts.so.5 -> libcilkrts.so.5.0.0 -rw-r--r-- 1 root root 113K Oct 4 2019 libcilkrts.so.5.0.0 -rw-r--r-- 1 root root 60K Feb 5 2019 libcrypt.a lrwxrwxrwx 1 root root 35 Feb 5 2019 libcrypt.so -> /lib/x86_64-linux-gnu/libcrypt.so.1 lrwxrwxrwx 1 root root 19 Dec 15 2014 libcrystalhd.so.3 -> libcrystalhd.so.3.6 -rw-r--r-- 1 root root 109K Dec 15 2014 libcrystalhd.so.3.6 -rw-r--r-- 1 root root 510K Aug 20 2019 libcups.so.2 lrwxrwxrwx 1 root root 19 Sep 10 2019 libcurl-gnutls.so.3 -> libcurl-gnutls.so.4 lrwxrwxrwx 1 root root 23 Sep 10 2019 libcurl-gnutls.so.4 -> libcurl-gnutls.so.4.4.0 -rw-r--r-- 1 root root 435K Sep 10 2019 libcurl-gnutls.so.4.4.0 lrwxrwxrwx 1 root root 18 Feb 1 2016 libdatrie.so.1 -> libdatrie.so.1.3.3 -rw-r--r-- 1 root root 31K Feb 1 2016 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 361K Feb 7 2016 libdc1394.a lrwxrwxrwx 1 root root 20 Feb 7 2016 libdc1394.so -> libdc1394.so.22.1.11 lrwxrwxrwx 1 root root 20 Feb 7 2016 libdc1394.so.22 -> libdc1394.so.22.1.11 -rw-r--r-- 1 root root 216K Feb 7 2016 libdc1394.so.22.1.11 lrwxrwxrwx 1 root root 25 Nov 26 2015 libdebconfclient.so.0 -> libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 11K Nov 26 2015 libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 13K Feb 5 2019 libdl.a lrwxrwxrwx 1 root root 32 Feb 5 2019 libdl.so -> /lib/x86_64-linux-gnu/libdl.so.2 lrwxrwxrwx 1 root root 15 Jun 7 2018 libdrm.so.2 -> libdrm.so.2.4.0 -rw-r--r-- 1 root root 71K Jun 7 2018 libdrm.so.2.4.0 lrwxrwxrwx 1 root root 22 Jun 7 2018 libdrm_amdgpu.so.1 -> libdrm_amdgpu.so.1.0.0 -rw-r--r-- 1 root root 39K Jun 7 2018 libdrm_amdgpu.so.1.0.0 lrwxrwxrwx 1 root root 21 Jun 7 2018 libdrm_intel.so.1 -> libdrm_intel.so.1.0.0 -rw-r--r-- 1 root root 145K Jun 7 2018 libdrm_intel.so.1.0.0 lrwxrwxrwx 1 root root 23 Jun 7 2018 libdrm_nouveau.so.2 -> libdrm_nouveau.so.2.0.0 -rw-r--r-- 1 root root 31K Jun 7 2018 libdrm_nouveau.so.2.0.0 lrwxrwxrwx 1 root root 22 Jun 7 2018 libdrm_radeon.so.1 -> libdrm_radeon.so.1.0.1 -rw-r--r-- 1 root root 47K Jun 7 2018 libdrm_radeon.so.1.0.1 lrwxrwxrwx 1 root root 17 Feb 7 2016 libedit.so.2 -> libedit.so.2.0.53 -rw-r--r-- 1 root root 208K Feb 7 2016 libedit.so.2.0.53 -rw-r--r-- 1 root root 95K Jun 7 2019 libelf-0.165.so lrwxrwxrwx 1 root root 15 Jun 7 2019 libelf.so.1 -> libelf-0.165.so -rw-r--r-- 1 root root 339K Sep 12 2019 libexpat.a -rw-r--r-- 1 root root 951 Sep 12 2019 libexpat.la lrwxrwxrwx 1 root root 39 Sep 12 2019 libexpat.so -> /lib/x86_64-linux-gnu/libexpat.so.1.6.0 -rw-r--r-- 1 root root 340K Sep 12 2019 libexpatw.a -rw-r--r-- 1 root root 958 Sep 12 2019 libexpatw.la lrwxrwxrwx 1 root root 18 Sep 12 2019 libexpatw.so -> libexpatw.so.1.6.0 lrwxrwxrwx 1 root root 18 Sep 12 2019 libexpatw.so.1 -> libexpatw.so.1.6.0 -rw-r--r-- 1 root root 167K Sep 12 2019 libexpatw.so.1.6.0 lrwxrwxrwx 1 root root 15 Dec 14 2015 libffi.so.6 -> libffi.so.6.0.4 -rw-r--r-- 1 root root 31K Dec 14 2015 libffi.so.6.0.4 -rw-r--r-- 1 root root 454K Aug 16 2016 libfontconfig.a lrwxrwxrwx 1 root root 22 Aug 16 2016 libfontconfig.so -> libfontconfig.so.1.9.0 lrwxrwxrwx 1 root root 22 Aug 16 2016 libfontconfig.so.1 -> libfontconfig.so.1.9.0 -rw-r--r-- 1 root root 268K Aug 16 2016 libfontconfig.so.1.9.0 lrwxrwxrwx 1 root root 14 Feb 19 2016 libform.so.5 -> libform.so.5.9 -rw-r--r-- 1 root root 64K Feb 19 2016 libform.so.5.9 lrwxrwxrwx 1 root root 15 Feb 19 2016 libformw.so.5 -> libformw.so.5.9 -rw-r--r-- 1 root root 68K Feb 19 2016 libformw.so.5.9 -rw-r--r-- 1 root root 928K Sep 6 2019 libfreetype.a -rw-r--r-- 1 root root 908 Sep 6 2019 libfreetype.la lrwxrwxrwx 1 root root 21 Sep 6 2019 libfreetype.so -> libfreetype.so.6.12.1 lrwxrwxrwx 1 root root 21 Sep 6 2019 libfreetype.so.6 -> libfreetype.so.6.12.1 -rw-r--r-- 1 root root 679K Sep 6 2019 libfreetype.so.6.12.1 -rw-r--r-- 1 root root 1.3K Feb 5 2019 libg.a lrwxrwxrwx 1 root root 14 Feb 27 2019 libgd.so.3 -> libgd.so.3.0.0 -rw-r--r-- 1 root root 413K Feb 27 2019 libgd.so.3.0.0 lrwxrwxrwx 1 root root 16 Nov 16 2014 libgdbm.so.3 -> libgdbm.so.3.0.0 -rw-r--r-- 1 root root 23K Nov 16 2014 libgdbm.so.3.0.0 lrwxrwxrwx 1 root root 23 Nov 16 2014 libgdbm_compat.so.3 -> libgdbm_compat.so.3.0.0 -rw-r--r-- 1 root root 9.9K Nov 16 2014 libgdbm_compat.so.3.0.0 -rw-r--r-- 1 root root 1.3M Aug 2 2017 libgdk-x11-2.0.a lrwxrwxrwx 1 root root 27 Aug 2 2017 libgdk-x11-2.0.so -> libgdk-x11-2.0.so.0.2400.30 lrwxrwxrwx 1 root root 27 Aug 2 2017 libgdk-x11-2.0.so.0 -> libgdk-x11-2.0.so.0.2400.30 -rw-r--r-- 1 root root 724K Aug 2 2017 libgdk-x11-2.0.so.0.2400.30 lrwxrwxrwx 1 root root 29 Mar 20 2019 libgdk_pixbuf-2.0.so -> libgdk_pixbuf-2.0.so.0.3200.2 lrwxrwxrwx 1 root root 29 Mar 20 2019 libgdk_pixbuf-2.0.so.0 -> libgdk_pixbuf-2.0.so.0.3200.2 -rw-r--r-- 1 root root 136K Mar 20 2019 libgdk_pixbuf-2.0.so.0.3200.2 lrwxrwxrwx 1 root root 34 Mar 20 2019 libgdk_pixbuf_xlib-2.0.so -> libgdk_pixbuf_xlib-2.0.so.0.3200.2 lrwxrwxrwx 1 root root 34 Mar 20 2019 libgdk_pixbuf_xlib-2.0.so.0 -> libgdk_pixbuf_xlib-2.0.so.0.3200.2 -rw-r--r-- 1 root root 67K Mar 20 2019 libgdk_pixbuf_xlib-2.0.so.0.3200.2 lrwxrwxrwx 1 root root 28 Jan 28 2016 libgdkglext-x11-1.0.so.0 -> libgdkglext-x11-1.0.so.0.0.0 -rw-r--r-- 1 root root 399K Jan 28 2016 libgdkglext-x11-1.0.so.0.0.0 lrwxrwxrwx 1 root root 20 Oct 4 2019 libgfortran.so.3 -> libgfortran.so.3.0.0 -rw-r--r-- 1 root root 1.2M Oct 4 2019 libgfortran.so.3.0.0 -rw-r--r-- 1 root root 3.6M Mar 24 2020 libgio-2.0.a lrwxrwxrwx 1 root root 22 Mar 24 2020 libgio-2.0.so -> libgio-2.0.so.0.4800.2 lrwxrwxrwx 1 root root 22 Mar 24 2020 libgio-2.0.so.0 -> libgio-2.0.so.0.4800.2 -rw-r--r-- 1 root root 1.6M Mar 24 2020 libgio-2.0.so.0.4800.2 lrwxrwxrwx 1 root root 28 Dec 1 2015 libgirepository-1.0.so.1 -> libgirepository-1.0.so.1.0.0 -rw-r--r-- 1 root root 208K Dec 1 2015 libgirepository-1.0.so.1.0.0 lrwxrwxrwx 1 root root 17 Jun 14 2018 libglapi.so.0 -> libglapi.so.0.0.0 -rw-r--r-- 1 root root 191K Jun 14 2018 libglapi.so.0.0.0 -rw-r--r-- 1 root root 1.8M Mar 24 2020 libglib-2.0.a lrwxrwxrwx 1 root root 38 Mar 24 2020 libglib-2.0.so -> /lib/x86_64-linux-gnu/libglib-2.0.so.0 lrwxrwxrwx 1 root root 15 Dec 13 2016 libgme.so.0 -> libgme.so.0.6.0 -rw-r--r-- 1 root root 311K Dec 13 2016 libgme.so.0.6.0 -rw-r--r-- 1 root root 14K Mar 24 2020 libgmodule-2.0.a lrwxrwxrwx 1 root root 26 Mar 24 2020 libgmodule-2.0.so -> libgmodule-2.0.so.0.4800.2 lrwxrwxrwx 1 root root 26 Mar 24 2020 libgmodule-2.0.so.0 -> libgmodule-2.0.so.0.4800.2 -rw-r--r-- 1 root root 15K Mar 24 2020 libgmodule-2.0.so.0.4800.2 lrwxrwxrwx 1 root root 16 Nov 17 2015 libgmp.so.10 -> libgmp.so.10.3.0 -rw-r--r-- 1 root root 511K Nov 17 2015 libgmp.so.10.3.0 lrwxrwxrwx 1 root root 19 Jan 23 2020 libgnutls.so.30 -> libgnutls.so.30.6.2 -rw-r--r-- 1 root root 1.2M Jan 23 2020 libgnutls.so.30.6.2 -rw-r--r-- 1 root root 633K Mar 24 2020 libgobject-2.0.a lrwxrwxrwx 1 root root 26 Mar 24 2020 libgobject-2.0.so -> libgobject-2.0.so.0.4800.2 lrwxrwxrwx 1 root root 26 Mar 24 2020 libgobject-2.0.so.0 -> libgobject-2.0.so.0.4800.2 -rw-r--r-- 1 root root 332K Mar 24 2020 libgobject-2.0.so.0.4800.2 lrwxrwxrwx 1 root root 16 Oct 4 2019 libgomp.so.1 -> libgomp.so.1.0.0 -rw-r--r-- 1 root root 136K Oct 4 2019 libgomp.so.1.0.0 lrwxrwxrwx 1 root root 17 Aug 18 2017 libgraphite2.so.2.0.0 -> libgraphite2.so.3 lrwxrwxrwx 1 root root 21 Aug 18 2017 libgraphite2.so.3 -> libgraphite2.so.3.0.1 -rw-r--r-- 1 root root 151K Aug 18 2017 libgraphite2.so.3.0.1 lrwxrwxrwx 1 root root 16 Apr 30 2012 libgsm.so.1 -> libgsm.so.1.0.12 -rw-r--r-- 1 root root 55K Apr 30 2012 libgsm.so.1.0.12 lrwxrwxrwx 1 root root 18 Jul 14 2017 libgssapi.so.3 -> libgssapi.so.3.0.0 -rw-r--r-- 1 root root 259K Jul 14 2017 libgssapi.so.3.0.0 lrwxrwxrwx 1 root root 21 Jan 14 2019 libgssapi_krb5.so.2 -> libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 295K Jan 14 2019 libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 2.7K Mar 24 2020 libgthread-2.0.a lrwxrwxrwx 1 root root 26 Mar 24 2020 libgthread-2.0.so -> libgthread-2.0.so.0.4800.2 lrwxrwxrwx 1 root root 26 Mar 24 2020 libgthread-2.0.so.0 -> libgthread-2.0.so.0.4800.2 -rw-r--r-- 1 root root 6.1K Mar 24 2020 libgthread-2.0.so.0.4800.2 -rw-r--r-- 1 root root 9.1M Aug 2 2017 libgtk-x11-2.0.a lrwxrwxrwx 1 root root 27 Aug 2 2017 libgtk-x11-2.0.so -> libgtk-x11-2.0.so.0.2400.30 lrwxrwxrwx 1 root root 27 Aug 2 2017 libgtk-x11-2.0.so.0 -> libgtk-x11-2.0.so.0.2400.30 -rw-r--r-- 1 root root 4.3M Aug 2 2017 libgtk-x11-2.0.so.0.2400.30 drwxr-xr-x 2 root root 4.0K Mar 26 2020 libgtk2.0-0 lrwxrwxrwx 1 root root 28 Jan 28 2016 libgtkglext-x11-1.0.so.0 -> libgtkglext-x11-1.0.so.0.0.0 -rw-r--r-- 1 root root 15K Jan 28 2016 libgtkglext-x11-1.0.so.0.0.0 -rw-r--r-- 1 root root 49K Aug 17 2016 libharfbuzz-gobject.a lrwxrwxrwx 1 root root 32 Aug 17 2016 libharfbuzz-gobject.so -> libharfbuzz-gobject.so.0.10000.1 lrwxrwxrwx 1 root root 32 Aug 17 2016 libharfbuzz-gobject.so.0 -> libharfbuzz-gobject.so.0.10000.1 -rw-r--r-- 1 root root 43K Aug 17 2016 libharfbuzz-gobject.so.0.10000.1 -rw-r--r-- 1 root root 6.1K Aug 17 2016 libharfbuzz-icu.a lrwxrwxrwx 1 root root 28 Aug 17 2016 libharfbuzz-icu.so -> libharfbuzz-icu.so.0.10000.1 lrwxrwxrwx 1 root root 28 Aug 17 2016 libharfbuzz-icu.so.0 -> libharfbuzz-icu.so.0.10000.1 -rw-r--r-- 1 root root 11K Aug 17 2016 libharfbuzz-icu.so.0.10000.1 -rw-r--r-- 1 root root 639K Aug 17 2016 libharfbuzz.a lrwxrwxrwx 1 root root 24 Aug 17 2016 libharfbuzz.so -> libharfbuzz.so.0.10000.1 lrwxrwxrwx 1 root root 24 Aug 17 2016 libharfbuzz.so.0 -> libharfbuzz.so.0.10000.1 -rw-r--r-- 1 root root 375K Aug 17 2016 libharfbuzz.so.0.10000.1 lrwxrwxrwx 1 root root 19 Jul 14 2017 libhcrypto.so.4 -> libhcrypto.so.4.1.0 -rw-r--r-- 1 root root 200K Jul 14 2017 libhcrypto.so.4.1.0 lrwxrwxrwx 1 root root 20 Jul 14 2017 libheimbase.so.1 -> libheimbase.so.1.0.0 -rw-r--r-- 1 root root 60K Jul 14 2017 libheimbase.so.1.0.0 lrwxrwxrwx 1 root root 20 Jul 14 2017 libheimntlm.so.0 -> libheimntlm.so.0.1.0 -rw-r--r-- 1 root root 36K Jul 14 2017 libheimntlm.so.0.1.0 lrwxrwxrwx 1 root root 17 Feb 3 2017 libhogweed.so.4 -> libhogweed.so.4.2 -rw-r--r-- 1 root root 203K Feb 3 2017 libhogweed.so.4.2 lrwxrwxrwx 1 root root 17 Jul 14 2017 libhx509.so.5 -> libhx509.so.5.0.0 -rw-r--r-- 1 root root 297K Jul 14 2017 libhx509.so.5.0.0 -rw-r--r-- 1 root root 25M Mar 16 2020 libicudata.a lrwxrwxrwx 1 root root 18 Mar 16 2020 libicudata.so -> libicudata.so.55.1 lrwxrwxrwx 1 root root 18 Mar 16 2020 libicudata.so.55 -> libicudata.so.55.1 -rw-r--r-- 1 root root 25M Mar 16 2020 libicudata.so.55.1 -rw-r--r-- 1 root root 5.0M Mar 16 2020 libicui18n.a lrwxrwxrwx 1 root root 18 Mar 16 2020 libicui18n.so -> libicui18n.so.55.1 lrwxrwxrwx 1 root root 18 Mar 16 2020 libicui18n.so.55 -> libicui18n.so.55.1 -rw-r--r-- 1 root root 2.4M Mar 16 2020 libicui18n.so.55.1 -rw-r--r-- 1 root root 83K Mar 16 2020 libicuio.a lrwxrwxrwx 1 root root 16 Mar 16 2020 libicuio.so -> libicuio.so.55.1 lrwxrwxrwx 1 root root 16 Mar 16 2020 libicuio.so.55 -> libicuio.so.55.1 -rw-r--r-- 1 root root 55K Mar 16 2020 libicuio.so.55.1 -rw-r--r-- 1 root root 700K Mar 16 2020 libicule.a lrwxrwxrwx 1 root root 16 Mar 16 2020 libicule.so -> libicule.so.55.1 lrwxrwxrwx 1 root root 16 Mar 16 2020 libicule.so.55 -> libicule.so.55.1 -rw-r--r-- 1 root root 351K Mar 16 2020 libicule.so.55.1 -rw-r--r-- 1 root root 77K Mar 16 2020 libiculx.a lrwxrwxrwx 1 root root 16 Mar 16 2020 libiculx.so -> libiculx.so.55.1 lrwxrwxrwx 1 root root 16 Mar 16 2020 libiculx.so.55 -> libiculx.so.55.1 -rw-r--r-- 1 root root 47K Mar 16 2020 libiculx.so.55.1 -rw-r--r-- 1 root root 109K Mar 16 2020 libicutest.a lrwxrwxrwx 1 root root 18 Mar 16 2020 libicutest.so -> libicutest.so.55.1 lrwxrwxrwx 1 root root 18 Mar 16 2020 libicutest.so.55 -> libicutest.so.55.1 -rw-r--r-- 1 root root 64K Mar 16 2020 libicutest.so.55.1 -rw-r--r-- 1 root root 347K Mar 16 2020 libicutu.a lrwxrwxrwx 1 root root 16 Mar 16 2020 libicutu.so -> libicutu.so.55.1 lrwxrwxrwx 1 root root 16 Mar 16 2020 libicutu.so.55 -> libicutu.so.55.1 -rw-r--r-- 1 root root 195K Mar 16 2020 libicutu.so.55.1 -rw-r--r-- 1 root root 2.8M Mar 16 2020 libicuuc.a lrwxrwxrwx 1 root root 16 Mar 16 2020 libicuuc.so -> libicuuc.so.55.1 lrwxrwxrwx 1 root root 16 Mar 16 2020 libicuuc.so.55 -> libicuuc.so.55.1 -rw-r--r-- 1 root root 1.6M Mar 16 2020 libicuuc.so.55.1 lrwxrwxrwx 1 root root 17 Sep 25 2017 libidn.so.11 -> libidn.so.11.6.15 -rw-r--r-- 1 root root 203K Sep 25 2017 libidn.so.11.6.15 -rw-r--r-- 1 root root 808 Feb 5 2019 libieee.a lrwxrwxrwx 1 root root 16 Jan 25 2016 libisl.so.15 -> libisl.so.15.1.1 -rw-r--r-- 1 root root 1.5M Jan 25 2016 libisl.so.15.1.1 lrwxrwxrwx 1 root root 15 Oct 4 2019 libitm.so.1 -> libitm.so.1.0.0 -rw-r--r-- 1 root root 111K Oct 4 2019 libitm.so.1.0.0 -rw-r--r-- 1 root root 529K Jun 27 2018 libjasper.a lrwxrwxrwx 1 root root 18 Jun 27 2018 libjasper.so -> libjasper.so.1.0.0 lrwxrwxrwx 1 root root 18 Jun 27 2018 libjasper.so.1 -> libjasper.so.1.0.0 -rw-r--r-- 1 root root 311K Jun 27 2018 libjasper.so.1.0.0 -rw-r--r-- 1 root root 52K Nov 10 2014 libjbig.a lrwxrwxrwx 1 root root 12 Nov 10 2014 libjbig.so -> libjbig.so.0 -rw-r--r-- 1 root root 57K Nov 10 2014 libjbig.so.0 -rw-r--r-- 1 root root 521K Nov 13 2019 libjpeg.a lrwxrwxrwx 1 root root 16 Nov 13 2019 libjpeg.so -> libjpeg.so.8.0.2 lrwxrwxrwx 1 root root 16 Nov 13 2019 libjpeg.so.8 -> libjpeg.so.8.0.2 -rw-r--r-- 1 root root 355K Nov 13 2019 libjpeg.so.8.0.2 lrwxrwxrwx 1 root root 18 Jan 14 2019 libk5crypto.so.3 -> libk5crypto.so.3.1 -rw-r--r-- 1 root root 183K Jan 14 2019 libk5crypto.so.3.1 lrwxrwxrwx 1 root root 17 Jul 14 2017 libkrb5.so.26 -> libkrb5.so.26.0.0 -rw-r--r-- 1 root root 548K Jul 14 2017 libkrb5.so.26.0.0 lrwxrwxrwx 1 root root 14 Jan 14 2019 libkrb5.so.3 -> libkrb5.so.3.3 -rw-r--r-- 1 root root 841K Jan 14 2019 libkrb5.so.3.3 lrwxrwxrwx 1 root root 21 Jan 14 2019 libkrb5support.so.0 -> libkrb5support.so.0.1 -rw-r--r-- 1 root root 43K Jan 14 2019 libkrb5support.so.0.1 lrwxrwxrwx 1 root root 21 Aug 20 2019 liblber-2.4.so.2 -> liblber-2.4.so.2.10.5 -rw-r--r-- 1 root root 59K Aug 20 2019 liblber-2.4.so.2.10.5 lrwxrwxrwx 1 root root 18 Aug 20 2019 libldap-2.4.so.2 -> libldap_r-2.4.so.2 lrwxrwxrwx 1 root root 23 Aug 20 2019 libldap_r-2.4.so.2 -> libldap_r-2.4.so.2.10.5 -rw-r--r-- 1 root root 316K Aug 20 2019 libldap_r-2.4.so.2.10.5 lrwxrwxrwx 1 root root 16 Oct 4 2019 liblsan.so.0 -> liblsan.so.0.0.0 -rw-r--r-- 1 root root 261K Oct 4 2019 liblsan.so.0.0.0 -rw-r--r-- 1 root root 63K Feb 7 2016 libltdl.a -rw-r--r-- 1 root root 950 Feb 7 2016 libltdl.la lrwxrwxrwx 1 root root 16 Feb 7 2016 libltdl.so -> libltdl.so.7.3.1 lrwxrwxrwx 1 root root 16 Feb 7 2016 libltdl.so.7 -> libltdl.so.7.3.1 -rw-r--r-- 1 root root 39K Feb 7 2016 libltdl.so.7.3.1 lrwxrwxrwx 1 root root 15 Apr 18 2016 liblz4.so.1 -> liblz4.so.1.7.1 -rw-r--r-- 1 root root 95K Apr 18 2016 liblz4.so.1.7.1 -rw-r--r-- 1 root root 263K Feb 12 2014 liblzma.a lrwxrwxrwx 1 root root 38 Feb 12 2014 liblzma.so -> /lib/x86_64-linux-gnu/liblzma.so.5.0.0 -rw-r--r-- 1 root root 2.2M Feb 5 2019 libm.a -rw-r--r-- 1 root root 186 Feb 5 2019 libm.so -rw-r--r-- 1 root root 1.6K Feb 5 2019 libmcheck.a lrwxrwxrwx 1 root root 14 Feb 19 2016 libmenu.so.5 -> libmenu.so.5.9 -rw-r--r-- 1 root root 31K Feb 19 2016 libmenu.so.5.9 lrwxrwxrwx 1 root root 15 Feb 19 2016 libmenuw.so.5 -> libmenuw.so.5.9 -rw-r--r-- 1 root root 35K Feb 19 2016 libmenuw.so.5.9 lrwxrwxrwx 1 root root 19 Aug 30 2015 libmodplug.so.1 -> libmodplug.so.1.0.0 -rw-r--r-- 1 root root 303K Aug 30 2015 libmodplug.so.1.0.0 lrwxrwxrwx 1 root root 19 Feb 7 2016 libmp3lame.so.0 -> libmp3lame.so.0.0.0 -rw-r--r-- 1 root root 283K Feb 7 2016 libmp3lame.so.0.0.0 lrwxrwxrwx 1 root root 15 Feb 25 2015 libmpc.so.3 -> libmpc.so.3.0.0 -rw-r--r-- 1 root root 95K Feb 25 2015 libmpc.so.3.0.0 lrwxrwxrwx 1 root root 16 Mar 13 2016 libmpfr.so.4 -> libmpfr.so.4.1.4 -rw-r--r-- 1 root root 403K Mar 13 2016 libmpfr.so.4.1.4 lrwxrwxrwx 1 root root 15 Oct 4 2019 libmpx.so.0 -> libmpx.so.0.0.0 -rw-r--r-- 1 root root 19K Oct 4 2019 libmpx.so.0.0.0 lrwxrwxrwx 1 root root 23 Oct 4 2019 libmpxwrappers.so.0 -> libmpxwrappers.so.0.0.0 -rw-r--r-- 1 root root 11K Oct 4 2019 libmpxwrappers.so.0.0.0 -rw-r--r-- 1 root root 286K Feb 5 2019 libmvec.a lrwxrwxrwx 1 root root 34 Feb 5 2019 libmvec.so -> /lib/x86_64-linux-gnu/libmvec.so.1 -rw-r--r-- 1 root root 5.9K Feb 5 2019 libmvec_nonshared.a lrwxrwxrwx 1 root root 16 Feb 3 2017 libnettle.so.6 -> libnettle.so.6.2 -rw-r--r-- 1 root root 215K Feb 3 2017 libnettle.so.6.2 -rw-r--r-- 1 root root 191K Feb 5 2019 libnsl.a lrwxrwxrwx 1 root root 33 Feb 5 2019 libnsl.so -> /lib/x86_64-linux-gnu/libnsl.so.1 lrwxrwxrwx 1 root root 40 Feb 5 2019 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 37 Feb 5 2019 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 39 Feb 5 2019 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 40 Feb 5 2019 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 37 Feb 5 2019 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 41 Feb 5 2019 libnss_nisplus.so -> /lib/x86_64-linux-gnu/libnss_nisplus.so.2 lrwxrwxrwx 1 root root 16 Oct 20 2017 libnuma.so.1 -> libnuma.so.1.0.0 -rw-r--r-- 1 root root 43K Oct 20 2017 libnuma.so.1.0.0 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 27 Dec 7 2018 libopcodes-2.26-system.so -> libopcodes-2.26.1-system.so -rw-r--r-- 1 root root 1.7M Dec 7 2018 libopcodes-2.26.1-system.so -rw-r--r-- 1 root root 1016K Sep 13 2018 libopencv_calib3d.a lrwxrwxrwx 1 root root 24 Sep 13 2018 libopencv_calib3d.so -> libopencv_calib3d.so.2.4 lrwxrwxrwx 1 root root 26 Sep 13 2018 libopencv_calib3d.so.2.4 -> libopencv_calib3d.so.2.4.9 -rw-r--r-- 1 root root 583K Sep 13 2018 libopencv_calib3d.so.2.4.9 -rw-r--r-- 1 root root 1.9M Sep 13 2018 libopencv_contrib.a lrwxrwxrwx 1 root root 24 Sep 13 2018 libopencv_contrib.so -> libopencv_contrib.so.2.4 lrwxrwxrwx 1 root root 26 Sep 13 2018 libopencv_contrib.so.2.4 -> libopencv_contrib.so.2.4.9 -rw-r--r-- 1 root root 907K Sep 13 2018 libopencv_contrib.so.2.4.9 -rw-r--r-- 1 root root 4.2M Sep 13 2018 libopencv_core.a lrwxrwxrwx 1 root root 21 Sep 13 2018 libopencv_core.so -> libopencv_core.so.2.4 lrwxrwxrwx 1 root root 23 Sep 13 2018 libopencv_core.so.2.4 -> libopencv_core.so.2.4.9 -rw-r--r-- 1 root root 2.2M Sep 13 2018 libopencv_core.so.2.4.9 -rw-r--r-- 1 root root 1.4M Sep 13 2018 libopencv_features2d.a lrwxrwxrwx 1 root root 27 Sep 13 2018 libopencv_features2d.so -> libopencv_features2d.so.2.4 lrwxrwxrwx 1 root root 29 Sep 13 2018 libopencv_features2d.so.2.4 -> libopencv_features2d.so.2.4.9 -rw-r--r-- 1 root root 623K Sep 13 2018 libopencv_features2d.so.2.4.9 -rw-r--r-- 1 root root 1.1M Sep 13 2018 libopencv_flann.a lrwxrwxrwx 1 root root 22 Sep 13 2018 libopencv_flann.so -> libopencv_flann.so.2.4 lrwxrwxrwx 1 root root 24 Sep 13 2018 libopencv_flann.so.2.4 -> libopencv_flann.so.2.4.9 -rw-r--r-- 1 root root 415K Sep 13 2018 libopencv_flann.so.2.4.9 -rw-r--r-- 1 root root 877K Sep 13 2018 libopencv_gpu.a lrwxrwxrwx 1 root root 20 Sep 13 2018 libopencv_gpu.so -> libopencv_gpu.so.2.4 lrwxrwxrwx 1 root root 22 Sep 13 2018 libopencv_gpu.so.2.4 -> libopencv_gpu.so.2.4.9 -rw-r--r-- 1 root root 367K Sep 13 2018 libopencv_gpu.so.2.4.9 -rw-r--r-- 1 root root 804K Sep 13 2018 libopencv_highgui.a lrwxrwxrwx 1 root root 24 Sep 13 2018 libopencv_highgui.so -> libopencv_highgui.so.2.4 lrwxrwxrwx 1 root root 26 Sep 13 2018 libopencv_highgui.so.2.4 -> libopencv_highgui.so.2.4.9 -rw-r--r-- 1 root root 324K Sep 13 2018 libopencv_highgui.so.2.4.9 -rw-r--r-- 1 root root 3.7M Sep 13 2018 libopencv_imgproc.a lrwxrwxrwx 1 root root 24 Sep 13 2018 libopencv_imgproc.so -> libopencv_imgproc.so.2.4 lrwxrwxrwx 1 root root 26 Sep 13 2018 libopencv_imgproc.so.2.4 -> libopencv_imgproc.so.2.4.9 -rw-r--r-- 1 root root 2.0M Sep 13 2018 libopencv_imgproc.so.2.4.9 -rw-r--r-- 1 root root 2.4M Sep 13 2018 libopencv_legacy.a lrwxrwxrwx 1 root root 23 Sep 13 2018 libopencv_legacy.so -> libopencv_legacy.so.2.4 lrwxrwxrwx 1 root root 25 Sep 13 2018 libopencv_legacy.so.2.4 -> libopencv_legacy.so.2.4.9 -rw-r--r-- 1 root root 1.1M Sep 13 2018 libopencv_legacy.so.2.4.9 -rw-r--r-- 1 root root 975K Sep 13 2018 libopencv_ml.a lrwxrwxrwx 1 root root 19 Sep 13 2018 libopencv_ml.so -> libopencv_ml.so.2.4 lrwxrwxrwx 1 root root 21 Sep 13 2018 libopencv_ml.so.2.4 -> libopencv_ml.so.2.4.9 -rw-r--r-- 1 root root 493K Sep 13 2018 libopencv_ml.so.2.4.9 -rw-r--r-- 1 root root 927K Sep 13 2018 libopencv_objdetect.a lrwxrwxrwx 1 root root 26 Sep 13 2018 libopencv_objdetect.so -> libopencv_objdetect.so.2.4 lrwxrwxrwx 1 root root 28 Sep 13 2018 libopencv_objdetect.so.2.4 -> libopencv_objdetect.so.2.4.9 -rw-r--r-- 1 root root 471K Sep 13 2018 libopencv_objdetect.so.2.4.9 -rw-r--r-- 1 root root 3.2M Sep 13 2018 libopencv_ocl.a lrwxrwxrwx 1 root root 20 Sep 13 2018 libopencv_ocl.so -> libopencv_ocl.so.2.4 lrwxrwxrwx 1 root root 22 Sep 13 2018 libopencv_ocl.so.2.4 -> libopencv_ocl.so.2.4.9 -rw-r--r-- 1 root root 1.8M Sep 13 2018 libopencv_ocl.so.2.4.9 -rw-r--r-- 1 root root 181K Sep 13 2018 libopencv_photo.a lrwxrwxrwx 1 root root 22 Sep 13 2018 libopencv_photo.so -> libopencv_photo.so.2.4 lrwxrwxrwx 1 root root 24 Sep 13 2018 libopencv_photo.so.2.4 -> libopencv_photo.so.2.4.9 -rw-r--r-- 1 root root 115K Sep 13 2018 libopencv_photo.so.2.4.9 -rw-r--r-- 1 root root 1.1M Sep 13 2018 libopencv_stitching.a lrwxrwxrwx 1 root root 26 Sep 13 2018 libopencv_stitching.so -> libopencv_stitching.so.2.4 lrwxrwxrwx 1 root root 28 Sep 13 2018 libopencv_stitching.so.2.4 -> libopencv_stitching.so.2.4.9 -rw-r--r-- 1 root root 531K Sep 13 2018 libopencv_stitching.so.2.4.9 -rw-r--r-- 1 root root 496K Sep 13 2018 libopencv_superres.a lrwxrwxrwx 1 root root 25 Sep 13 2018 libopencv_superres.so -> libopencv_superres.so.2.4 lrwxrwxrwx 1 root root 27 Sep 13 2018 libopencv_superres.so.2.4 -> libopencv_superres.so.2.4.9 -rw-r--r-- 1 root root 231K Sep 13 2018 libopencv_superres.so.2.4.9 -rw-r--r-- 1 root root 1.6M Sep 13 2018 libopencv_ts.a lrwxrwxrwx 1 root root 19 Sep 13 2018 libopencv_ts.so -> libopencv_ts.so.2.4 lrwxrwxrwx 1 root root 21 Sep 13 2018 libopencv_ts.so.2.4 -> libopencv_ts.so.2.4.9 -rw-r--r-- 1 root root 679K Sep 13 2018 libopencv_ts.so.2.4.9 -rw-r--r-- 1 root root 561K Sep 13 2018 libopencv_video.a lrwxrwxrwx 1 root root 22 Sep 13 2018 libopencv_video.so -> libopencv_video.so.2.4 lrwxrwxrwx 1 root root 24 Sep 13 2018 libopencv_video.so.2.4 -> libopencv_video.so.2.4.9 -rw-r--r-- 1 root root 339K Sep 13 2018 libopencv_video.so.2.4.9 -rw-r--r-- 1 root root 499K Sep 13 2018 libopencv_videostab.a lrwxrwxrwx 1 root root 26 Sep 13 2018 libopencv_videostab.so -> libopencv_videostab.so.2.4 lrwxrwxrwx 1 root root 28 Sep 13 2018 libopencv_videostab.so.2.4 -> libopencv_videostab.so.2.4.9 -rw-r--r-- 1 root root 247K Sep 13 2018 libopencv_videostab.so.2.4.9 -rw-r--r-- 1 root root 141K May 28 2015 libopenjpeg.so.1.5.2 lrwxrwxrwx 1 root root 20 May 28 2015 libopenjpeg.so.5 -> libopenjpeg.so.1.5.2 -rw-r--r-- 1 root root 182K May 28 2015 libopenjpeg_JPWL.so.1.5.2 lrwxrwxrwx 1 root root 25 May 28 2015 libopenjpeg_JPWL.so.5 -> libopenjpeg_JPWL.so.1.5.2 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 20 Mar 17 2016 liborc-0.4.so.0 -> liborc-0.4.so.0.25.0 -rw-r--r-- 1 root root 514K Mar 17 2016 liborc-0.4.so.0.25.0 lrwxrwxrwx 1 root root 25 Mar 17 2016 liborc-test-0.4.so.0 -> liborc-test-0.4.so.0.25.0 -rw-r--r-- 1 root root 31K Mar 17 2016 liborc-test-0.4.so.0.25.0 lrwxrwxrwx 1 root root 19 Aug 26 2016 libp11-kit.so.0 -> libp11-kit.so.0.1.0 -rw-r--r-- 1 root root 399K Aug 26 2016 libp11-kit.so.0.1.0 lrwxrwxrwx 1 root root 15 Feb 19 2016 libpanel.so.5 -> libpanel.so.5.9 -rw-r--r-- 1 root root 15K Feb 19 2016 libpanel.so.5.9 lrwxrwxrwx 1 root root 16 Feb 19 2016 libpanelw.so.5 -> libpanelw.so.5.9 -rw-r--r-- 1 root root 15K Feb 19 2016 libpanelw.so.5.9 -rw-r--r-- 1 root root 492K Oct 23 2015 libpango-1.0.a lrwxrwxrwx 1 root root 24 Oct 23 2015 libpango-1.0.so -> libpango-1.0.so.0.3800.1 lrwxrwxrwx 1 root root 24 Oct 23 2015 libpango-1.0.so.0 -> libpango-1.0.so.0.3800.1 -rw-r--r-- 1 root root 304K Oct 23 2015 libpango-1.0.so.0.3800.1 -rw-r--r-- 1 root root 78K Oct 23 2015 libpangocairo-1.0.a lrwxrwxrwx 1 root root 29 Oct 23 2015 libpangocairo-1.0.so -> libpangocairo-1.0.so.0.3800.1 lrwxrwxrwx 1 root root 29 Oct 23 2015 libpangocairo-1.0.so.0 -> libpangocairo-1.0.so.0.3800.1 -rw-r--r-- 1 root root 52K Oct 23 2015 libpangocairo-1.0.so.0.3800.1 -rw-r--r-- 1 root root 137K Oct 23 2015 libpangoft2-1.0.a lrwxrwxrwx 1 root root 27 Oct 23 2015 libpangoft2-1.0.so -> libpangoft2-1.0.so.0.3800.1 lrwxrwxrwx 1 root root 27 Oct 23 2015 libpangoft2-1.0.so.0 -> libpangoft2-1.0.so.0.3800.1 -rw-r--r-- 1 root root 88K Oct 23 2015 libpangoft2-1.0.so.0.3800.1 lrwxrwxrwx 1 root root 22 Oct 31 2014 libpangox-1.0.so.0 -> libpangox-1.0.so.0.0.0 -rw-r--r-- 1 root root 129K Oct 31 2014 libpangox-1.0.so.0.0.0 -rw-r--r-- 1 root root 44K Oct 23 2015 libpangoxft-1.0.a lrwxrwxrwx 1 root root 27 Oct 23 2015 libpangoxft-1.0.so -> libpangoxft-1.0.so.0.3800.1 lrwxrwxrwx 1 root root 27 Oct 23 2015 libpangoxft-1.0.so.0 -> libpangoxft-1.0.so.0.3800.1 -rw-r--r-- 1 root root 35K Oct 23 2015 libpangoxft-1.0.so.0.3800.1 lrwxrwxrwx 1 root root 22 Aug 3 2015 libpciaccess.so.0 -> libpciaccess.so.0.11.1 -rw-r--r-- 1 root root 39K Aug 3 2015 libpciaccess.so.0.11.1 -rw-r--r-- 1 root root 602K Mar 25 2016 libpcre.a lrwxrwxrwx 1 root root 34 Mar 25 2016 libpcre.so -> /lib/x86_64-linux-gnu/libpcre.so.3 -rw-r--r-- 1 root root 565K Mar 25 2016 libpcre16.a lrwxrwxrwx 1 root root 19 Mar 25 2016 libpcre16.so -> libpcre16.so.3.13.2 lrwxrwxrwx 1 root root 19 Mar 25 2016 libpcre16.so.3 -> libpcre16.so.3.13.2 -rw-r--r-- 1 root root 406K Mar 25 2016 libpcre16.so.3.13.2 -rw-r--r-- 1 root root 550K Mar 25 2016 libpcre32.a lrwxrwxrwx 1 root root 19 Mar 25 2016 libpcre32.so -> libpcre32.so.3.13.2 lrwxrwxrwx 1 root root 19 Mar 25 2016 libpcre32.so.3 -> libpcre32.so.3.13.2 -rw-r--r-- 1 root root 390K Mar 25 2016 libpcre32.so.3.13.2 -rw-r--r-- 1 root root 51K Mar 25 2016 libpcrecpp.a lrwxrwxrwx 1 root root 19 Mar 25 2016 libpcrecpp.so -> libpcrecpp.so.0.0.1 lrwxrwxrwx 1 root root 19 Mar 25 2016 libpcrecpp.so.0 -> libpcrecpp.so.0.0.1 -rw-r--r-- 1 root root 34K Mar 25 2016 libpcrecpp.so.0.0.1 -rw-r--r-- 1 root root 6.6K Mar 25 2016 libpcreposix.a lrwxrwxrwx 1 root root 22 Mar 25 2016 libpcreposix.so -> libpcreposix.so.3.13.2 lrwxrwxrwx 1 root root 22 Mar 25 2016 libpcreposix.so.3 -> libpcreposix.so.3.13.2 -rw-r--r-- 1 root root 9.9K Mar 25 2016 libpcreposix.so.3.13.2 lrwxrwxrwx 1 root root 17 Nov 19 2018 libperl.so.5.22 -> libperl.so.5.22.1 -rw-r--r-- 1 root root 1.9M Nov 19 2018 libperl.so.5.22.1 -rw-r--r-- 1 root root 882K Jan 14 2016 libpixman-1.a lrwxrwxrwx 1 root root 21 Jan 14 2016 libpixman-1.so -> libpixman-1.so.0.33.6 lrwxrwxrwx 1 root root 21 Jan 14 2016 libpixman-1.so.0 -> libpixman-1.so.0.33.6 -rw-r--r-- 1 root root 671K Jan 14 2016 libpixman-1.so.0.33.6 lrwxrwxrwx 1 root root 10 Jul 10 2018 libpng.a -> libpng12.a lrwxrwxrwx 1 root root 11 Jul 10 2018 libpng.so -> libpng12.so -rw-r--r-- 1 root root 239K Jul 10 2018 libpng12.a lrwxrwxrwx 1 root root 13 Jul 10 2018 libpng12.so -> libpng12.so.0 lrwxrwxrwx 1 root root 35 Jul 10 2018 libpng12.so.0 -> /lib/x86_64-linux-gnu/libpng12.so.0 -rw-r--r-- 1 root root 2.4M Feb 5 2019 libpthread.a -rw-r--r-- 1 root root 252 Feb 5 2019 libpthread.so -rw-r--r-- 1 root root 7.6K Feb 5 2019 libpthread_nonshared.a lrwxrwxrwx 1 root root 20 Oct 4 2019 libquadmath.so.0 -> libquadmath.so.0.0.0 -rw-r--r-- 1 root root 252K Oct 4 2019 libquadmath.so.0.0.0 -rw-r--r-- 1 root root 91K Dec 8 2015 libraw1394.a -rw-r--r-- 1 root root 971 Dec 8 2015 libraw1394.la lrwxrwxrwx 1 root root 20 Dec 8 2015 libraw1394.so -> libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 20 Dec 8 2015 libraw1394.so.11 -> libraw1394.so.11.1.0 -rw-r--r-- 1 root root 59K Dec 8 2015 libraw1394.so.11.1.0 -rw-r--r-- 1 root root 156K Feb 5 2019 libresolv.a lrwxrwxrwx 1 root root 36 Feb 5 2019 libresolv.so -> /lib/x86_64-linux-gnu/libresolv.so.2 lrwxrwxrwx 1 root root 18 Jul 14 2017 libroken.so.18 -> libroken.so.18.1.0 -rw-r--r-- 1 root root 88K Jul 14 2017 libroken.so.18.1.0 -rw-r--r-- 1 root root 53K Feb 5 2019 librpcsvc.a -rw-r--r-- 1 root root 75K Feb 5 2019 librt.a lrwxrwxrwx 1 root root 32 Feb 5 2019 librt.so -> /lib/x86_64-linux-gnu/librt.so.1 -rw-r--r-- 1 root root 111K May 5 2017 librtmp.so.1 lrwxrwxrwx 1 root root 18 Jan 28 2020 libsasl2.so.2 -> libsasl2.so.2.0.25 -rw-r--r-- 1 root root 107K Jan 28 2020 libsasl2.so.2.0.25 lrwxrwxrwx 1 root root 29 Dec 16 2014 libschroedinger-1.0.so.0 -> libschroedinger-1.0.so.0.11.0 -rw-r--r-- 1 root root 850K Dec 16 2014 libschroedinger-1.0.so.0.11.0 -rw-r--r-- 1 root root 211K Apr 20 2016 libsemanage.so.1 lrwxrwxrwx 1 root root 19 Oct 2 2015 libsensors.so.4 -> libsensors.so.4.4.0 -rw-r--r-- 1 root root 59K Oct 2 2015 libsensors.so.4.4.0 lrwxrwxrwx 1 root root 17 Jan 30 2016 libshine.so.3 -> libshine.so.3.0.1 -rw-r--r-- 1 root root 51K Jan 30 2016 libshine.so.3.0.1 lrwxrwxrwx 1 root root 18 Oct 6 2015 libsnappy.so.1 -> libsnappy.so.1.3.0 -rw-r--r-- 1 root root 31K Oct 6 2015 libsnappy.so.1.3.0 lrwxrwxrwx 1 root root 16 Oct 24 2015 libsoxr.so.0 -> libsoxr.so.0.1.1 -rw-r--r-- 1 root root 192K Oct 24 2015 libsoxr.so.0.1.1 lrwxrwxrwx 1 root root 17 Sep 1 2015 libspeex.so.1 -> libspeex.so.1.5.0 -rw-r--r-- 1 root root 98K Sep 1 2015 libspeex.so.1.5.0 lrwxrwxrwx 1 root root 19 Mar 3 2020 libsqlite3.so.0 -> libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 850K Mar 3 2020 libsqlite3.so.0.8.6 lrwxrwxrwx 1 root root 22 Dec 10 2019 libssh-gcrypt.so.4 -> libssh-gcrypt.so.4.4.1 -rw-r--r-- 1 root root 298K Dec 10 2019 libssh-gcrypt.so.4.4.1 lrwxrwxrwx 1 root root 30 Dec 10 2019 libssh-gcrypt_threads.so.4 -> libssh-gcrypt_threads.so.4.4.1 -rw-r--r-- 1 root root 6.2K Dec 10 2019 libssh-gcrypt_threads.so.4.4.1 lrwxrwxrwx 1 root root 19 Oct 4 2019 libstdc++.so.6 -> libstdc++.so.6.0.21 -rw-r--r-- 1 root root 1.5M Oct 4 2019 libstdc++.so.6.0.21 -rw-r--r-- 1 root root 208K Aug 23 2018 libswresample-ffmpeg.a lrwxrwxrwx 1 root root 31 Aug 23 2018 libswresample-ffmpeg.so -> libswresample-ffmpeg.so.1.2.101 lrwxrwxrwx 1 root root 31 Aug 23 2018 libswresample-ffmpeg.so.1 -> libswresample-ffmpeg.so.1.2.101 -rw-r--r-- 1 root root 114K Aug 23 2018 libswresample-ffmpeg.so.1.2.101 lrwxrwxrwx 1 root root 22 Aug 23 2018 libswresample.a -> libswresample-ffmpeg.a lrwxrwxrwx 1 root root 23 Aug 23 2018 libswresample.so -> libswresample-ffmpeg.so -rw-r--r-- 1 root root 780K Aug 23 2018 libswscale-ffmpeg.a lrwxrwxrwx 1 root root 28 Aug 23 2018 libswscale-ffmpeg.so -> libswscale-ffmpeg.so.3.1.101 lrwxrwxrwx 1 root root 28 Aug 23 2018 libswscale-ffmpeg.so.3 -> libswscale-ffmpeg.so.3.1.101 -rw-r--r-- 1 root root 538K Aug 23 2018 libswscale-ffmpeg.so.3.1.101 lrwxrwxrwx 1 root root 19 Aug 23 2018 libswscale.a -> libswscale-ffmpeg.a lrwxrwxrwx 1 root root 20 Aug 23 2018 libswscale.so -> libswscale-ffmpeg.so lrwxrwxrwx 1 root root 17 Jan 25 2018 libtasn1.so.6 -> libtasn1.so.6.5.1 -rw-r--r-- 1 root root 75K Jan 25 2018 libtasn1.so.6.5.1 -rw-r--r-- 1 root root 234K Jan 28 2016 libtbb.so.2 -rw-r--r-- 1 root root 110K Jan 28 2016 libtbbmalloc.so.2 -rw-r--r-- 1 root root 15K Jan 28 2016 libtbbmalloc_proxy.so.2 lrwxrwxrwx 1 root root 16 Feb 2 2016 libthai.so.0 -> libthai.so.0.2.4 -rw-r--r-- 1 root root 37K Feb 2 2016 libthai.so.0.2.4 lrwxrwxrwx 1 root root 19 Feb 7 2016 libtheora.so.0 -> libtheora.so.0.3.10 -rw-r--r-- 1 root root 315K Feb 7 2016 libtheora.so.0.3.10 lrwxrwxrwx 1 root root 21 Feb 7 2016 libtheoradec.so.1 -> libtheoradec.so.1.1.4 -rw-r--r-- 1 root root 103K Feb 7 2016 libtheoradec.so.1.1.4 lrwxrwxrwx 1 root root 21 Feb 7 2016 libtheoraenc.so.1 -> libtheoraenc.so.1.1.2 -rw-r--r-- 1 root root 251K Feb 7 2016 libtheoraenc.so.1.1.2 lrwxrwxrwx 1 root root 39 Feb 5 2019 libthread_db.so -> /lib/x86_64-linux-gnu/libthread_db.so.1 lrwxrwxrwx 1 root root 13 Feb 19 2016 libtic.so.5 -> libtic.so.5.9 -rw-r--r-- 1 root root 59K Feb 19 2016 libtic.so.5.9 -rw-r--r-- 1 root root 741K Oct 16 2019 libtiff.a lrwxrwxrwx 1 root root 16 Oct 16 2019 libtiff.so -> libtiff.so.5.2.4 lrwxrwxrwx 1 root root 16 Oct 16 2019 libtiff.so.5 -> libtiff.so.5.2.4 -rw-r--r-- 1 root root 469K Oct 16 2019 libtiff.so.5.2.4 -rw-r--r-- 1 root root 8.6K Oct 16 2019 libtiffxx.a lrwxrwxrwx 1 root root 18 Oct 16 2019 libtiffxx.so -> libtiffxx.so.5.2.4 lrwxrwxrwx 1 root root 18 Oct 16 2019 libtiffxx.so.5 -> libtiffxx.so.5.2.4 -rw-r--r-- 1 root root 10K Oct 16 2019 libtiffxx.so.5.2.4 lrwxrwxrwx 1 root root 16 Oct 4 2019 libtsan.so.0 -> libtsan.so.0.0.0 -rw-r--r-- 1 root root 791K Oct 4 2019 libtsan.so.0.0.0 -rw-r--r-- 1 root root 596K Nov 13 2019 libturbojpeg.a lrwxrwxrwx 1 root root 19 Jul 26 2015 libtwolame.so.0 -> libtwolame.so.0.0.0 -rw-r--r-- 1 root root 123K Jul 26 2015 libtwolame.so.0.0.0 lrwxrwxrwx 1 root root 17 Oct 4 2019 libubsan.so.0 -> libubsan.so.0.0.0 -rw-r--r-- 1 root root 241K Oct 4 2019 libubsan.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 17 2015 libustr-1.0.so.1 -> libustr-1.0.so.1.0.4 -rw-r--r-- 1 root root 215K Jun 17 2015 libustr-1.0.so.1.0.4 -rw-r--r-- 1 root root 14K Feb 5 2019 libutil.a lrwxrwxrwx 1 root root 34 Feb 5 2019 libutil.so -> /lib/x86_64-linux-gnu/libutil.so.1 drwxr-xr-x 3 root root 4.0K Mar 26 2020 libv4l lrwxrwxrwx 1 root root 16 Jan 24 2016 libv4l1.so.0 -> libv4l1.so.0.0.0 -rw-r--r-- 1 root root 24K Jan 24 2016 libv4l1.so.0.0.0 lrwxrwxrwx 1 root root 16 Jan 24 2016 libv4l2.so.0 -> libv4l2.so.0.0.0 -rw-r--r-- 1 root root 55K Jan 24 2016 libv4l2.so.0.0.0 lrwxrwxrwx 1 root root 22 Jan 24 2016 libv4lconvert.so.0 -> libv4lconvert.so.0.0.0 -rw-r--r-- 1 root root 159K Jan 24 2016 libv4lconvert.so.0.0.0 drwxr-xr-x 2 root root 4.0K Mar 26 2020 libv4lconvert0 lrwxrwxrwx 1 root root 17 Aug 31 2017 libva.so.1 -> libva.so.1.3900.0 -rw-r--r-- 1 root root 111K Aug 31 2017 libva.so.1.3900.0 lrwxrwxrwx 1 root root 18 Mar 21 2018 libvorbis.so.0 -> libvorbis.so.0.4.8 -rw-r--r-- 1 root root 171K Mar 21 2018 libvorbis.so.0.4.8 lrwxrwxrwx 1 root root 22 Mar 21 2018 libvorbisenc.so.2 -> libvorbisenc.so.2.0.11 -rw-r--r-- 1 root root 675K Mar 21 2018 libvorbisenc.so.2.0.11 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.3 -> libvpx.so.3.0.0 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.3.0 -> libvpx.so.3.0.0 -rw-r--r-- 1 root root 2.2M Nov 19 2019 libvpx.so.3.0.0 lrwxrwxrwx 1 root root 19 Dec 5 2018 libwavpack.so.1 -> libwavpack.so.1.1.7 -rw-r--r-- 1 root root 163K Dec 5 2018 libwavpack.so.1.1.7 lrwxrwxrwx 1 root root 16 Nov 17 2015 libwebp.so.5 -> libwebp.so.5.0.4 -rw-r--r-- 1 root root 367K Nov 17 2015 libwebp.so.5.0.4 lrwxrwxrwx 1 root root 16 Jul 14 2017 libwind.so.0 -> libwind.so.0.0.0 -rw-r--r-- 1 root root 163K Jul 14 2017 libwind.so.0.0.0 -rw-r--r-- 1 root root 1.2M Jan 18 2016 libx264.so.148 -rw-r--r-- 1 root root 11M Feb 11 2016 libx265.so.79 lrwxrwxrwx 1 root root 20 Nov 9 2015 libxcb-dri2.so.0 -> libxcb-dri2.so.0.0.0 -rw-r--r-- 1 root root 19K Nov 9 2015 libxcb-dri2.so.0.0.0 lrwxrwxrwx 1 root root 20 Nov 9 2015 libxcb-dri3.so.0 -> libxcb-dri3.so.0.0.0 -rw-r--r-- 1 root root 11K Nov 9 2015 libxcb-dri3.so.0.0.0 lrwxrwxrwx 1 root root 19 Nov 9 2015 libxcb-glx.so.0 -> libxcb-glx.so.0.0.0 -rw-r--r-- 1 root root 99K Nov 9 2015 libxcb-glx.so.0.0.0 lrwxrwxrwx 1 root root 23 Nov 9 2015 libxcb-present.so.0 -> libxcb-present.so.0.0.0 -rw-r--r-- 1 root root 11K Nov 9 2015 libxcb-present.so.0.0.0 -rw-r--r-- 1 root root 47K Nov 9 2015 libxcb-render.a lrwxrwxrwx 1 root root 22 Nov 9 2015 libxcb-render.so -> libxcb-render.so.0.0.0 lrwxrwxrwx 1 root root 22 Nov 9 2015 libxcb-render.so.0 -> libxcb-render.so.0.0.0 -rw-r--r-- 1 root root 39K Nov 9 2015 libxcb-render.so.0.0.0 -rw-r--r-- 1 root root 9.8K Nov 9 2015 libxcb-shm.a lrwxrwxrwx 1 root root 19 Nov 9 2015 libxcb-shm.so -> libxcb-shm.so.0.0.0 lrwxrwxrwx 1 root root 19 Nov 9 2015 libxcb-shm.so.0 -> libxcb-shm.so.0.0.0 -rw-r--r-- 1 root root 15K Nov 9 2015 libxcb-shm.so.0.0.0 lrwxrwxrwx 1 root root 20 Nov 9 2015 libxcb-sync.so.1 -> libxcb-sync.so.1.0.0 -rw-r--r-- 1 root root 27K Nov 9 2015 libxcb-sync.so.1.0.0 -rw-r--r-- 1 root root 202K Nov 9 2015 libxcb.a lrwxrwxrwx 1 root root 15 Nov 9 2015 libxcb.so -> libxcb.so.1.1.0 lrwxrwxrwx 1 root root 15 Nov 9 2015 libxcb.so.1 -> libxcb.so.1.1.0 -rw-r--r-- 1 root root 135K Nov 9 2015 libxcb.so.1.1.0 -rw-r--r-- 1 root root 2.9M Feb 5 2020 libxml2.a lrwxrwxrwx 1 root root 16 Feb 5 2020 libxml2.so -> libxml2.so.2.9.3 lrwxrwxrwx 1 root root 16 Feb 5 2020 libxml2.so.2 -> libxml2.so.2.9.3 -rw-r--r-- 1 root root 1.8M Feb 5 2020 libxml2.so.2.9.3 lrwxrwxrwx 1 root root 21 May 6 2015 libxshmfence.so.1 -> libxshmfence.so.1.0.0 -rw-r--r-- 1 root root 11K May 6 2015 libxshmfence.so.1.0.0 lrwxrwxrwx 1 root root 18 Jun 29 2015 libxvidcore.so.4 -> libxvidcore.so.4.3 -rw-r--r-- 1 root root 684K Jun 29 2015 libxvidcore.so.4.3 -rw-r--r-- 1 root root 140K Jan 21 2020 libz.a lrwxrwxrwx 1 root root 35 Jan 21 2020 libz.so -> /lib/x86_64-linux-gnu/libz.so.1.2.8 lrwxrwxrwx 1 root root 23 Nov 29 2015 libzvbi-chains.so.0 -> libzvbi-chains.so.0.0.0 -rw-r--r-- 1 root root 58K Nov 29 2015 libzvbi-chains.so.0.0.0 lrwxrwxrwx 1 root root 17 Nov 29 2015 libzvbi.so.0 -> libzvbi.so.0.13.2 -rw-r--r-- 1 root root 556K Nov 29 2015 libzvbi.so.0.13.2 drwxr-xr-x 2 root root 4.0K Mar 26 2020 mesa drwxr-xr-x 3 root root 4.0K Mar 26 2020 openssl-1.0.0 drwxr-xr-x 1 root root 4.0K Mar 26 2020 perl drwxr-xr-x 16 root root 4.0K Feb 12 2020 perl-base drwxr-xr-x 2 root root 4.0K Mar 26 2020 pkgconfig drwxr-xr-x 2 root root 4.0K Mar 26 2020 sasl2 drwxr-xr-x 2 root root 4.0K Mar 26 2020 x264-10bit -rw-r--r-- 1 root root 204 Feb 5 2020 xml2Conf.sh drwxr-xr-x 3 root root 4.0K Mar 26 2020 xorg [Pipeline] echo Packing build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-36m-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 d0a0c941ee1b472139d06609a6c4b972851cabed6b140d7e1629fe2686973dcf $ docker rm -f d0a0c941ee1b472139d06609a6c4b972851cabed6b140d7e1629fe2686973dcf [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } Archiving objects > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/obj/collectives/device/colldevice.a Linking libnccl.so.2.11.4 > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/lib/libnccl.so.2.11.4 Archiving libnccl_static.a > /root/jenkins/workspace/dgl_PR-4085@2/build/nccl/lib/libnccl_static.a /root/jenkins/workspace/dgl_PR-4085@2/third_party/nccl/src [ 50%] No install step for 'nccl_external' [ 50%] Completed 'nccl_external' [ 50%] Built target nccl_external [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_nccl_api.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_cumsum.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_index_select.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_nonzero.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_op_impl.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_scatter.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_sort.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo2csr.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo_sort.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr2coo.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_get_data.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_mm.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sort.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sum.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_cuda_filter.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_disjoint_union.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_gather_mm.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_negative_sampling.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_segment_reduce.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_coo.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_csr.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm_hetero.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_utils.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/uvm/dgl_generated_array_index_select_uvm.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_edge_coarsening_impl.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_geometry_op_impl.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/graph/sampling/randomwalks/dgl_generated_get_node_types_gpu.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_randomwalk_gpu.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_cuda_compact_graph.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/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 [ 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/runtime/cuda/dgl_generated_cuda_hashtable.cu.o /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cuda/coo_sort.cu: In instantiation of 'int dgl::aten::impl::_NumberOfBits(const T&) [with T = long int]': /root/jenkins/workspace/dgl_PR-4085@2/src/array/cuda/coo_sort.cu:90:35: required from 'void dgl::aten::impl::COOSort_(dgl::aten::COOMatrix*, bool) [with DLDeviceType XPU = (DLDeviceType)2u; IdType = int]' /root/jenkins/workspace/dgl_PR-4085@2/src/array/cuda/coo_sort.cu:134:72: required from here /root/jenkins/workspace/dgl_PR-4085@2/src/array/cuda/coo_sort.cu:77:14: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] while (bits < sizeof(T)*8 && (1 << bits) < range) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/graph/transform/cuda/cuda_compact_graph.cu: In instantiation of 'std::pair >, std::vector > dgl::transform::_GLOBAL__N__64_tmpxft_00006b01_00000000_9_cuda_compact_graph_compute_70_cpp1_ii_69477254::CompactGraphsGPU(const std::vector >&, const std::vector&) [with IdType = int]': /root/jenkins/workspace/dgl_PR-4085@2/src/graph/transform/cuda/cuda_compact_graph.cu:265:55: required from here /root/jenkins/workspace/dgl_PR-4085@2/src/graph/transform/cuda/cuda_compact_graph.cu:129:12: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (ntype < always_preserve.size() && always_preserve[ntype]->shape[0] > 0) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/graph/transform/cuda/cuda_compact_graph.cu: In instantiation of 'std::pair >, std::vector > dgl::transform::_GLOBAL__N__64_tmpxft_00006b01_00000000_9_cuda_compact_graph_compute_70_cpp1_ii_69477254::CompactGraphsGPU(const std::vector >&, const std::vector&) [with IdType = long int]': /root/jenkins/workspace/dgl_PR-4085@2/src/graph/transform/cuda/cuda_compact_graph.cu:273:56: required from here /root/jenkins/workspace/dgl_PR-4085@2/src/graph/transform/cuda/cuda_compact_graph.cu:129:12: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] Scanning dependencies of target dgl [ 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_cumsum.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_index_select.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_nonzero.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_op_impl.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_pack.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_repeat.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_scatter.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_sort.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_linegraph.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_coalesce.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_remove.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_sort.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_get_data.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_mm.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sort.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sum.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_remove.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/disjoint_union.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/gather_mm.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_union.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/negative_sampling.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_sampling.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_to_simple.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/sddmm.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_topk.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/segment_reduce.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/traversal.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/filter.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmm.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_coo.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/union_partition.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/c_api_common.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/array/kernel.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/array/libra_partition.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/dataloading/async_transferer.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/array/uvm_array.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/bcast.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/geometry/cpu/geometry_op_impl.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/geometry/geometry.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/partition/ndarray_partition.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/random/cpu/choice.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/random/random.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_csr.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_runtime_api.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cpu_device_api.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_object_api.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/ndarray.cc.o [ 75%] Building CXX object CMakeFiles/dgl.dir/src/runtime/thread_pool.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/resource_manager.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/object.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/api/api_test.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/utils.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/graph/creators.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/api/api_container.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/runtime/file_util.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/runtime/system_lib_module.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/runtime/workspace_pool.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph_capi.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dso_module.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/runtime/shared_mem.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_op.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/runtime/registry.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/gk_ops.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module_util.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/runtime/tensordispatch.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/tensor_serialize.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/get_node_types_cpu.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/network.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/neighbor/neighbor.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/runtime/semaphore_wrapper.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_apis.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/nodeflow.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/immutable_graph.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/shared_mem_manager.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/negative/global_uniform.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_traversal.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampler.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/pickle.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec_cpu.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalks.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/compact.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_simple.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/metis_partition.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_bipartite.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/union_partition.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/knn.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/cpu/knn.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_with_restart_cpu.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cuda/cuda_device_api.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.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/traversal.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/tcp_socket.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.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/scheduler/scheduler_apis.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/subgraph.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/runtime/threading_backend.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/heterograph_serialize.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/dglgraph_serialize.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/line_graph.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/rpc/rpc.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_communicator.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler.cc.o [ 93%] Building CXX object CMakeFiles/dgl.dir/src/rpc/tensorpipe/tp_communicator.cc.o [ 93%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/zerocopy_serializer.cc.o [ 93%] Building CXX object CMakeFiles/dgl.dir/src/array/cuda/csr_transpose.cc.o [ 93%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_pool.cc.o /root/jenkins/workspace/dgl_PR-4085@2/src/random/cpu/choice.cc: In instantiation of 'void dgl::RandomEngine::UniformChoice(IdxType, IdxType, IdxType*, bool) [with IdxType = int]': /root/jenkins/workspace/dgl_PR-4085@2/src/random/cpu/choice.cc:127:78: required from here /root/jenkins/workspace/dgl_PR-4085@2/src/random/cpu/choice.cc:96:32: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] while (selected.size() < num) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/random/cpu/choice.cc: In instantiation of 'void dgl::RandomEngine::UniformChoice(IdxType, IdxType, IdxType*, bool) [with IdxType = long int]': /root/jenkins/workspace/dgl_PR-4085@2/src/random/cpu/choice.cc:130:78: required from here /root/jenkins/workspace/dgl_PR-4085@2/src/random/cpu/choice.cc:96:32: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] In file included from /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/rowwise_sampling.cc:8:0: /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./rowwise_pick.h: In instantiation of 'dgl::aten::impl::CSRRowWisePerEtypePick(dgl::aten::CSRMatrix, dgl::IdArray, dgl::IdArray, const std::vector&, bool, bool, dgl::aten::impl::RangePickFn):: [with IdxType = int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./rowwise_pick.h:299:15: required from 'struct dgl::aten::impl::CSRRowWisePerEtypePick(dgl::aten::CSRMatrix, dgl::IdArray, dgl::IdArray, const std::vector&, bool, bool, dgl::aten::impl::RangePickFn) [with IdxType = int; dgl::IdArray = dgl::runtime::NDArray; dgl::aten::impl::RangePickFn = std::function >&, const int*, int*)>]::' /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./rowwise_pick.h:229:24: required from 'dgl::aten::COOMatrix dgl::aten::impl::CSRRowWisePerEtypePick(dgl::aten::CSRMatrix, dgl::IdArray, dgl::IdArray, const std::vector&, bool, bool, dgl::aten::impl::RangePickFn) [with IdxType = int; dgl::IdArray = dgl::runtime::NDArray; dgl::aten::impl::RangePickFn = std::function >&, const int*, int*)>]' /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/rowwise_sampling.cc:143:32: required from 'dgl::aten::COOMatrix dgl::aten::impl::CSRRowWisePerEtypeSampling(dgl::aten::CSRMatrix, dgl::IdArray, dgl::IdArray, const std::vector&, dgl::FloatArray, bool, bool) [with DLDeviceType XPU = (DLDeviceType)1u; IdxType = int; FloatType = float; dgl::IdArray = dgl::runtime::NDArray; dgl::FloatArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/rowwise_sampling.cc:147:85: required from here /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./rowwise_pick.h:230:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int64_t i = b; i < e; ++i) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./rowwise_pick.h: In instantiation of 'dgl::aten::impl::CSRRowWisePerEtypePick(dgl::aten::CSRMatrix, dgl::IdArray, dgl::IdArray, const std::vector&, bool, bool, dgl::aten::impl::RangePickFn):: [with IdxType = long int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./rowwise_pick.h:299:15: required from 'struct dgl::aten::impl::CSRRowWisePerEtypePick(dgl::aten::CSRMatrix, dgl::IdArray, dgl::IdArray, const std::vector&, bool, bool, dgl::aten::impl::RangePickFn) [with IdxType = long int; dgl::IdArray = dgl::runtime::NDArray; dgl::aten::impl::RangePickFn = std::function&, const long int*, long int*)>]::' /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./rowwise_pick.h:229:24: required from 'dgl::aten::COOMatrix dgl::aten::impl::CSRRowWisePerEtypePick(dgl::aten::CSRMatrix, dgl::IdArray, dgl::IdArray, const std::vector&, bool, bool, dgl::aten::impl::RangePickFn) [with IdxType = long int; dgl::IdArray = dgl::runtime::NDArray; dgl::aten::impl::RangePickFn = std::function&, const long int*, long int*)>]' /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/rowwise_sampling.cc:143:32: required from 'dgl::aten::COOMatrix dgl::aten::impl::CSRRowWisePerEtypeSampling(dgl::aten::CSRMatrix, dgl::IdArray, dgl::IdArray, const std::vector&, dgl::FloatArray, bool, bool) [with DLDeviceType XPU = (DLDeviceType)1u; IdxType = long int; FloatType = float; dgl::IdArray = dgl::runtime::NDArray; dgl::FloatArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/rowwise_sampling.cc:149:85: required from here /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./rowwise_pick.h:230:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/third_party/dmlc-core/include/dmlc/io.h:15:0, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:133:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:135:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:151:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:169:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:178:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:180:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:182:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < node_assignments[v].size(); j++) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:187:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < node_assignments[u].size(); j++) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:200:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < intersetv.size(); j++) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/io.h:15:0, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:231:44: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:254:44: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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]); ^ In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/io.h:15:0, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:133:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:135:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:151:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:169:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:178:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:180:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:182:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < node_assignments[v].size(); j++) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:187:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < node_assignments[u].size(); j++) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:200:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < intersetv.size(); j++) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/io.h:15:0, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:231:44: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:254:44: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4085@2/src/partition/ndarray_partition.cc:204:3: warning: control reaches end of non-void function [-Wreturn-type] } ^ In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/io.h:15:0, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:133:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:135:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:151:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:169:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:178:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:180:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:182:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < node_assignments[v].size(); j++) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:187:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < node_assignments[u].size(); j++) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:200:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < intersetv.size(); j++) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/io.h:15:0, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:231:44: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:254:44: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/src/array/libra_partition.cc:273:16: warning: format '%f' expects argument of type 'double', but argument 5 has type 'int64_t {aka long int}' [-Wformat=] In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/io.h:15:0, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:133:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:135:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:151:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:169:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:178:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:180:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:182:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < node_assignments[v].size(); j++) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:187:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < node_assignments[u].size(); j++) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:200:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32_t j=0; j < intersetv.size(); j++) { ^ In file included from /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/io.h:15:0, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:231:44: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[v].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:254:44: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(node_assignments[u].size() <= nc) << ^ /root/jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core/include/dmlc/./logging.h:203:9: note: in definition of macro 'CHECK' if (!(x)) \ ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/spmat_op_impl_coo.cc: In instantiation of 'dgl::aten::CSRMatrix dgl::aten::impl::{anonymous}::SortedCOOToCSR(const dgl::aten::COOMatrix&) [with IdType = int]': /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmat_op_impl_coo.cc:633:32: required from 'dgl::aten::CSRMatrix dgl::aten::impl::COOToCSR(dgl::aten::COOMatrix) [with DLDeviceType XPU = (DLDeviceType)1u; IdType = int]' /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmat_op_impl_coo.cc:636:59: required from here /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmat_op_impl_coo.cc:311:23: warning: unused variable 'col_data' [-Wunused-variable] const IdType *const col_data = static_cast(coo.col->data); ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmat_op_impl_coo.cc: In instantiation of 'dgl::aten::CSRMatrix dgl::aten::impl::{anonymous}::SortedCOOToCSR(const dgl::aten::COOMatrix&) [with IdType = long int]': /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmat_op_impl_coo.cc:633:32: required from 'dgl::aten::CSRMatrix dgl::aten::impl::COOToCSR(dgl::aten::COOMatrix) [with DLDeviceType XPU = (DLDeviceType)1u; IdType = long int]' /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmat_op_impl_coo.cc:637:59: required from here /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmat_op_impl_coo.cc:311:23: warning: unused variable 'col_data' [-Wunused-variable] In file included from /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./spmm.h:18:0, from /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:6: /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/spmm.cc:138:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/spmm.cc:142:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/spmm.cc:146:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/spmm.cc:150:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/libra_partition.cc:395:43: 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-4085@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-4085@2/src/array/cpu/spmm.cc:158:49: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/spmm.cc:165:49: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc: In function 'int32_t dgl::aten::Ver2partition(IdType, int64_t*, int32_t) [with IdType = long int; int32_t = int; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4085@2/src/array/libra_partition.cc:43:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/spmm.cc:172:49: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/spmm.cc:179:49: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/spmm.cc:186:49: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/spmm.cc:193:49: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^ In file included from /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:6:0: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@2/src/rpc/network/common.cc:71:32: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if ((result >= 0) && (result < sizeof(space))) { ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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; ^ In file included from /root/jenkins/workspace/dgl_PR-4085@2/src/geometry/../c_api_common.h:10:0, from /root/jenkins/workspace/dgl_PR-4085@2/src/geometry/geometry.cc:9: /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/graph/serialize/zerocopy_serializer.cc: In function 'void dgl::RawDataTensoDLPackDeleter(DLManagedTensor*)': /root/jenkins/workspace/dgl_PR-4085@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-4085@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)1u; FloatType = float; IdType = int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4085@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)1u; FloatType = float; IdType = int; dgl::IdArray = dgl::runtime::NDArray]::' /root/jenkins/workspace/dgl_PR-4085@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)1u; FloatType = float; IdType = int; dgl::IdArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4085@2/src/graph/transform/cpu/knn.cc:590:47: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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)1u; FloatType = float; IdType = long int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4085@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)1u; FloatType = float; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]::' /root/jenkins/workspace/dgl_PR-4085@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)1u; FloatType = float; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4085@2/src/graph/transform/cpu/knn.cc:594:47: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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)1u; FloatType = double; IdType = int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4085@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)1u; FloatType = double; IdType = int; dgl::IdArray = dgl::runtime::NDArray]::' /root/jenkins/workspace/dgl_PR-4085@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)1u; FloatType = double; IdType = int; dgl::IdArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4085@2/src/graph/transform/cpu/knn.cc:598:47: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@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)1u; FloatType = double; IdType = long int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4085@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)1u; FloatType = double; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]::' /root/jenkins/workspace/dgl_PR-4085@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)1u; FloatType = double; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4085@2/src/graph/transform/cpu/knn.cc:602:47: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/src/graph/graph.cc: In member function 'virtual dgl::Subgraph dgl::Graph::EdgeSubgraph(dgl::IdArray, bool) const': /root/jenkins/workspace/dgl_PR-4085@2/src/graph/graph.cc:539:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int64_t i = 0; i < NumVertices(); ++i) ^ /root/jenkins/workspace/dgl_PR-4085@2/src/graph/gk_ops.cc: In function 'gk_csr_t* dgl::Convert2GKCsr(dgl::aten::CSRMatrix, bool)': /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@2/src/graph/gk_ops.cc:45:84: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] gk_indices = gk_csr->colind = gk_imalloc(nnz, "gk_csr_ExtractPartition: colind"); ^ /root/jenkins/workspace/dgl_PR-4085@2/src/graph/graph_op.cc: In static member function 'static dgl::GraphPtr dgl::GraphOp::DisjointUnion(std::vector >)': /root/jenkins/workspace/dgl_PR-4085@2/src/graph/graph_op.cc:125:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (dgl_id_t i = 1; i < g_num_nodes + 1; ++i) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/graph/graph_op.cc:128:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (dgl_id_t i = 0; i < g_num_edges; ++i) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/graph/graph_op.cc:132:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (dgl_id_t i = 0; i < g_num_edges; ++i) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/graph/graph_op.cc: In static member function 'static std::vector > dgl::GraphOp::DisjointPartitionBySizes(dgl::GraphPtr, dgl::IdArray)': /root/jenkins/workspace/dgl_PR-4085@2/src/graph/graph_op.cc:237:41: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int j = indptr[start_pos]; j < indptr[end_pos]; ++j) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/graph/graph_op.cc:241:41: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int k = indptr[start_pos]; k < indptr[end_pos]; ++k) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/graph/graph_op.cc: In static member function 'static dgl::GraphPtr dgl::GraphOp::ToBidirectedImmutableGraph(dgl::GraphPtr)': /root/jenkins/workspace/dgl_PR-4085@2/src/graph/graph_op.cc:393:28: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < new_n_e; ++i) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/graph/heterograph_capi.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@2/src/graph/transform/compact.cc:146:59: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/src/graph/transform/compact.cc:154:59: required from here /root/jenkins/workspace/dgl_PR-4085@2/src/graph/transform/compact.cc:72:24: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] In file included from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/array.h:13:0, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/graph_interface.h:16, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4085@2/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4085@2/src/graph/sampler.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4085@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-4085@2/include/dgl/./aten/macro.h:121:6: note: in definition of macro 'ATEN_FLOAT_TYPE_SWITCH' {__VA_ARGS__} \ ^ /root/jenkins/workspace/dgl_PR-4085@2/src/graph/sampler.cc:938:11: note: in expansion of macro 'CHECK' CHECK(probability->shape[0] == gptr->NumEdges()) ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/include/dgl/./aten/macro.h:124:6: note: in definition of macro 'ATEN_FLOAT_TYPE_SWITCH' {__VA_ARGS__} \ ^ /root/jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/dmlc-core/include/dmlc/logging.h:132:0, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/./runtime/object.h:9, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/graph_interface.h:15, from /root/jenkins/workspace/dgl_PR-4085@2/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4085@2/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@2/src/graph/sampling/negative/global_uniform.cc: In function 'std::pair dgl::sampling::GlobalUniformNegativeSampling(dgl::HeteroGraphPtr, dgl::dgl_type_t, int64_t, int, bool, bool, double)': /root/jenkins/workspace/dgl_PR-4085@2/src/graph/sampling/negative/global_uniform.cc:29:21: warning: unused variable 'allowed' [-Wunused-variable] dgl_format_code_t allowed = hg->GetAllowedFormats(); ^ /root/jenkins/workspace/dgl_PR-4085@2/src/rpc/rpc.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4085@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-4085@2/src/rpc/rpc.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4085@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-4085@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) { ^ /root/jenkins/workspace/dgl_PR-4085@2/src/graph/graph_apis.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4085@2/src/graph/graph_apis.cc:52:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < edge_ids->shape[0]; i++) ^ In file included from /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./spmm.h:23:0, from /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/spmm.cc:6: /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./spmm_blocking_libxsmm.h: In function '': /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./spmm_blocking_libxsmm.h:125:13: warning: 'my_indices_block_buf' may be used uninitialized in this function [-Wmaybe-uninitialized] cur_csr_indices = my_indices_block_buf + cur_indices_id; ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./spmm_blocking_libxsmm.h:105:17: note: 'my_indices_block_buf' was declared here IdType *my_indices_block_buf, *my_edges_block_buf; ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./spmm_blocking_libxsmm.h:127:13: warning: 'my_edges_block_buf' may be used uninitialized in this function [-Wmaybe-uninitialized] cur_csr_edges = my_edges_block_buf + cur_indices_id; ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./spmm_blocking_libxsmm.h:105:40: note: 'my_edges_block_buf' was declared here IdType *my_indices_block_buf, *my_edges_block_buf; ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./spmm_blocking_libxsmm.h: In function '': /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./spmm_blocking_libxsmm.h:125:13: warning: 'my_indices_block_buf' may be used uninitialized in this function [-Wmaybe-uninitialized] cur_csr_indices = my_indices_block_buf + cur_indices_id; ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./spmm_blocking_libxsmm.h:105:17: note: 'my_indices_block_buf' was declared here IdType *my_indices_block_buf, *my_edges_block_buf; ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./spmm_blocking_libxsmm.h:127:13: warning: 'my_edges_block_buf' may be used uninitialized in this function [-Wmaybe-uninitialized] cur_csr_edges = my_edges_block_buf + cur_indices_id; ^ /root/jenkins/workspace/dgl_PR-4085@2/src/array/cpu/./spmm_blocking_libxsmm.h:105:40: note: 'my_edges_block_buf' was declared here IdType *my_indices_block_buf, *my_edges_block_buf; ^ [ 93%] Linking CXX shared library libdgl.so [ 93%] Built target dgl Scanning dependencies of target rpc_client Scanning dependencies of target rpc_server [ 93%] Building CXX object CMakeFiles/rpc_client.dir/tests/dist/cpp/rpc_client.cc.o [ 93%] Building CXX object CMakeFiles/rpc_server.dir/tests/dist/cpp/rpc_server.cc.o Scanning dependencies of target runUnitTests [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/graph_index_test.cc.o [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/message_queue_test.cc.o [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/socket_communicator_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/string_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_aten.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_csrmm.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_partition.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_rowwise.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_sampler.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_serialize.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_spmat_csr.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_spmm.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_unit_graph.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_zerocopy_serialize.cc.o /root/jenkins/workspace/dgl_PR-4085@2/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4085@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-4085@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DLDeviceType XPU = (DLDeviceType)2u; IdType = int]': /root/jenkins/workspace/dgl_PR-4085@2/tests/cpp/test_partition.cc:86:42: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DLDeviceType XPU = (DLDeviceType)2u; IdType = long int]': /root/jenkins/workspace/dgl_PR-4085@2/tests/cpp/test_partition.cc:87:42: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DLDeviceType XPU = (DLDeviceType)2u; IdType = int]': /root/jenkins/workspace/dgl_PR-4085@2/tests/cpp/test_partition.cc:195:38: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DLDeviceType XPU = (DLDeviceType)2u; IdType = long int]': /root/jenkins/workspace/dgl_PR-4085@2/tests/cpp/test_partition.cc:196:38: required from here /root/jenkins/workspace/dgl_PR-4085@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-4085@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) { ^ [ 98%] Linking CXX executable rpc_server [ 98%] Linking CXX executable rpc_client [ 98%] Built target rpc_server [ 98%] Built target rpc_client [100%] Linking CXX executable runUnitTests [100%] Built target runUnitTests ~/jenkins/workspace/dgl_PR-4085@2 ~/jenkins/workspace/dgl_PR-4085@2/python ~/jenkins/workspace/dgl_PR-4085@2 WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.6 creating build/lib.linux-x86_64-3.6/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.6/dgl creating build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.6/dgl/geometry creating build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.6/dgl/function creating build/lib.linux-x86_64-3.6/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn creating build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib creating build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.6/dgl/utils creating build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing creating build/lib.linux-x86_64-3.6/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim creating build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading creating build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading creating build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.6/dgl/backend creating build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.6/dgl/ops creating build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.6/dgl/cuda creating build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.6/dgl/storages creating build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/sampling creating build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.6/dgl/data creating build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/distributed creating build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate creating build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.6/dgl/transforms creating build/lib.linux-x86_64-3.6/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn creating build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/functional creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling creating build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data creating build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet creating build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn creating build/lib.linux-x86_64-3.6/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition creating build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools creating build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.6 creating build/temp.linux-x86_64-3.6/dgl creating build/temp.linux-x86_64-3.6/dgl/_ffi creating build/temp.linux-x86_64-3.6/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/pytorch-ci/include/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -pthread -shared -B /opt/conda/envs/pytorch-ci/compiler_compat -L/opt/conda/envs/pytorch-ci/lib -Wl,-rpath=/opt/conda/envs/pytorch-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to 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build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-36.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-36.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.9-py3.6-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.9-py3.6-linux-x86_64.egg creating /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Extracting dgl-0.9-py3.6-linux-x86_64.egg to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Processing dependencies for dgl==0.9 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/6b/76/a8cb69ed3566877dcbccf408f5f9d6055227ad4fed694e88809fa8506b0b/psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=068935df39055bf27a29824b95c801c7a5130f118b806eee663cad28dca97685 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/psutil-5.9.1-py3.6-linux-x86_64.egg Searching for tqdm==4.62.3 Best match: tqdm 4.62.3 Adding tqdm 4.62.3 to easy-install.pth file Installing tqdm script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for requests==2.27.1 Best match: requests 2.27.1 Adding requests 2.27.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for networkx==2.5.1 Best match: networkx 2.5.1 Adding networkx 2.5.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for scipy==1.5.4 Best match: scipy 1.5.4 Adding scipy 1.5.4 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for numpy==1.19.5 Best match: numpy 1.19.5 Adding numpy 1.19.5 to easy-install.pth file Installing f2py script to /opt/conda/envs/pytorch-ci/bin Installing f2py3 script to /opt/conda/envs/pytorch-ci/bin Installing f2py3.6 script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for charset-normalizer==2.0.12 Best match: charset-normalizer 2.0.12 Adding charset-normalizer 2.0.12 to easy-install.pth file Installing normalizer script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for urllib3==1.26.8 Best match: urllib3 1.26.8 Adding urllib3 1.26.8 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for certifi==2021.5.30 Best match: certifi 2021.5.30 Adding certifi 2021.5.30 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for decorator==4.4.2 Best match: decorator 4.4.2 Adding decorator 4.4.2 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4085@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/pytorch-ci/include/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -pthread -shared -B /opt/conda/envs/pytorch-ci/compiler_compat -L/opt/conda/envs/pytorch-ci/lib -Wl,-rpath=/opt/conda/envs/pytorch-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4085@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.6 creating build/lib.linux-x86_64-3.6/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.6/dgl creating build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.6/dgl/geometry creating build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.6/dgl/function creating build/lib.linux-x86_64-3.6/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn creating build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib creating build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.6/dgl/utils creating build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing creating build/lib.linux-x86_64-3.6/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim creating build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading creating build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading creating build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.6/dgl/backend creating build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.6/dgl/ops creating build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.6/dgl/cuda creating build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.6/dgl/storages creating build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/sampling creating build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.6/dgl/data creating build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/distributed creating build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate creating build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.6/dgl/transforms creating build/lib.linux-x86_64-3.6/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn creating build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/functional creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling creating build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data creating build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet creating build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn creating build/lib.linux-x86_64-3.6/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition creating build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools creating build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.6 creating build/temp.linux-x86_64-3.6/dgl creating build/temp.linux-x86_64-3.6/dgl/_ffi creating build/temp.linux-x86_64-3.6/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/mxnet-ci/include/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -pthread -shared -B /opt/conda/envs/mxnet-ci/compiler_compat -L/opt/conda/envs/mxnet-ci/lib -Wl,-rpath=/opt/conda/envs/mxnet-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-36.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-36.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.9-py3.6-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.9-py3.6-linux-x86_64.egg creating /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Extracting dgl-0.9-py3.6-linux-x86_64.egg to /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Processing dependencies for dgl==0.9 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/6b/76/a8cb69ed3566877dcbccf408f5f9d6055227ad4fed694e88809fa8506b0b/psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=068935df39055bf27a29824b95c801c7a5130f118b806eee663cad28dca97685 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/psutil-5.9.1-py3.6-linux-x86_64.egg Searching for tqdm==4.62.3 Best match: tqdm 4.62.3 Adding tqdm 4.62.3 to easy-install.pth file Installing tqdm script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for requests==2.27.1 Best match: requests 2.27.1 Adding requests 2.27.1 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for networkx==2.5.1 Best match: networkx 2.5.1 Adding networkx 2.5.1 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for scipy==1.5.4 Best match: scipy 1.5.4 Adding scipy 1.5.4 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for numpy==1.19.5 Best match: numpy 1.19.5 Adding numpy 1.19.5 to easy-install.pth file Installing f2py script to /opt/conda/envs/mxnet-ci/bin Installing f2py3 script to /opt/conda/envs/mxnet-ci/bin Installing f2py3.6 script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for charset-normalizer==2.0.12 Best match: charset-normalizer 2.0.12 Adding charset-normalizer 2.0.12 to easy-install.pth file Installing normalizer script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for urllib3==1.26.8 Best match: urllib3 1.26.8 Adding urllib3 1.26.8 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for certifi==2021.5.30 Best match: certifi 2021.5.30 Adding certifi 2021.5.30 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for decorator==4.4.2 Best match: decorator 4.4.2 Adding decorator 4.4.2 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4085@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/mxnet-ci/include/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -pthread -shared -B /opt/conda/envs/mxnet-ci/compiler_compat -L/opt/conda/envs/mxnet-ci/lib -Wl,-rpath=/opt/conda/envs/mxnet-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4085@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.6 creating build/lib.linux-x86_64-3.6/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.6/dgl creating build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.6/dgl/geometry creating build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.6/dgl/function creating build/lib.linux-x86_64-3.6/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn creating build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib creating build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.6/dgl/utils creating build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing creating build/lib.linux-x86_64-3.6/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim creating build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading creating build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading creating build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.6/dgl/backend creating build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.6/dgl/ops creating build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.6/dgl/cuda creating build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.6/dgl/storages creating build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/sampling creating build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.6/dgl/data creating build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/distributed creating build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate creating build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.6/dgl/transforms creating build/lib.linux-x86_64-3.6/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn creating build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/functional creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling creating build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data creating build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet creating build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn creating build/lib.linux-x86_64-3.6/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition creating build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools creating build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.6 creating build/temp.linux-x86_64-3.6/dgl creating build/temp.linux-x86_64-3.6/dgl/_ffi creating build/temp.linux-x86_64-3.6/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/tensorflow-ci/include/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -pthread -shared -B /opt/conda/envs/tensorflow-ci/compiler_compat -L/opt/conda/envs/tensorflow-ci/lib -Wl,-rpath=/opt/conda/envs/tensorflow-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-36.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-36.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.9-py3.6-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.9-py3.6-linux-x86_64.egg creating /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Extracting dgl-0.9-py3.6-linux-x86_64.egg to /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Processing dependencies for dgl==0.9 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/6b/76/a8cb69ed3566877dcbccf408f5f9d6055227ad4fed694e88809fa8506b0b/psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=068935df39055bf27a29824b95c801c7a5130f118b806eee663cad28dca97685 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/psutil-5.9.1-py3.6-linux-x86_64.egg Searching for tqdm==4.62.3 Best match: tqdm 4.62.3 Adding tqdm 4.62.3 to easy-install.pth file Installing tqdm script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for requests==2.27.1 Best match: requests 2.27.1 Adding requests 2.27.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for networkx==2.5.1 Best match: networkx 2.5.1 Adding networkx 2.5.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for scipy==1.4.1 Best match: scipy 1.4.1 Adding scipy 1.4.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for numpy==1.19.5 Best match: numpy 1.19.5 Adding numpy 1.19.5 to easy-install.pth file Installing f2py script to /opt/conda/envs/tensorflow-ci/bin Installing f2py3 script to /opt/conda/envs/tensorflow-ci/bin Installing f2py3.6 script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for charset-normalizer==2.0.12 Best match: charset-normalizer 2.0.12 Adding charset-normalizer 2.0.12 to easy-install.pth file Installing normalizer script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for urllib3==1.26.8 Best match: urllib3 1.26.8 Adding urllib3 1.26.8 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for certifi==2021.5.30 Best match: certifi 2021.5.30 Adding certifi 2021.5.30 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for decorator==4.4.2 Best match: decorator 4.4.2 Adding decorator 4.4.2 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4085@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/tensorflow-ci/include/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -pthread -shared -B /opt/conda/envs/tensorflow-ci/compiler_compat -L/opt/conda/envs/tensorflow-ci/lib -Wl,-rpath=/opt/conda/envs/tensorflow-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4085@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) ~/jenkins/workspace/dgl_PR-4085@2 [Pipeline] sh + ls -lh /usr/lib/x86_64-linux-gnu/ total 1.5G -rw-r--r-- 1 root root 496 Feb 5 2019 Mcrt1.o -rw-r--r-- 1 root root 1.8K Feb 5 2019 Scrt1.o drwxr-xr-x 2 root root 4.0K Nov 8 2019 audit drwxr-xr-x 2 root root 4.0K Mar 26 2020 avahi drwxr-xr-x 2 root root 4.0K Nov 8 2019 coreutils -rw-r--r-- 1 root root 1.7K Feb 5 2019 crt1.o -rw-r--r-- 1 root root 1.3K Feb 5 2019 crti.o -rw-r--r-- 1 root root 968 Feb 5 2019 crtn.o drwxr-xr-x 2 root root 4.0K Mar 26 2020 dri drwxr-xr-x 2 root root 12K Nov 8 2019 gconv -rw-r--r-- 1 root root 2.5K Feb 5 2019 gcrt1.o drwxr-xr-x 3 root root 4.0K Mar 26 2020 gdk-pixbuf-2.0 drwxr-xr-x 3 root root 4.0K Mar 26 2020 gio drwxr-xr-x 2 root root 4.0K Mar 26 2020 girepository-1.0 drwxr-xr-x 3 root root 4.0K Mar 26 2020 glib-2.0 drwxr-xr-x 4 root root 4.0K Mar 26 2020 gtk-2.0 drwxr-xr-x 3 root root 4.0K Mar 26 2020 icu drwxr-xr-x 3 root root 4.0K Nov 27 2019 krb5 -rw-r--r-- 1 root root 1.6K Feb 5 2019 libBrokenLocale.a lrwxrwxrwx 1 root root 42 Feb 5 2019 libBrokenLocale.so -> /lib/x86_64-linux-gnu/libBrokenLocale.so.1 lrwxrwxrwx 1 root root 15 Oct 23 2015 libGLU.so.1 -> libGLU.so.1.3.1 -rw-r--r-- 1 root root 443K Oct 23 2015 libGLU.so.1.3.1 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 -rw-r--r-- 1 root root 154K Jul 13 2014 libICE.a lrwxrwxrwx 1 root root 15 Jul 13 2014 libICE.so -> libICE.so.6.3.0 lrwxrwxrwx 1 root root 15 Jul 13 2014 libICE.so.6 -> libICE.so.6.3.0 -rw-r--r-- 1 root root 92K Jul 13 2014 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 Oct 3 2019 libIlmImf-2_2.so.22 -> libIlmImf-2_2.so.22.0.0 -rw-r--r-- 1 root root 2.9M Oct 3 2019 libIlmImf-2_2.so.22.0.0 -rw-r--r-- 1 root root 4.6M Oct 3 2019 libIlmImf.a lrwxrwxrwx 1 root root 23 Oct 3 2019 libIlmImf.so -> libIlmImf-2_2.so.22.0.0 lrwxrwxrwx 1 root root 27 Oct 3 2019 libIlmImfUtil-2_2.so.22 -> libIlmImfUtil-2_2.so.22.0.0 -rw-r--r-- 1 root root 140K Oct 3 2019 libIlmImfUtil-2_2.so.22.0.0 -rw-r--r-- 1 root root 331K Oct 3 2019 libIlmImfUtil.a lrwxrwxrwx 1 root root 27 Oct 3 2019 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 16 Jun 7 2018 libLLVM-6.0.so -> libLLVM-6.0.so.1 -rw-r--r-- 1 root root 58M Jun 7 2018 libLLVM-6.0.so.1 -rw-r--r-- 1 root root 46K Jul 13 2014 libSM.a lrwxrwxrwx 1 root root 14 Jul 13 2014 libSM.so -> libSM.so.6.0.1 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 Aug 30 2018 libX11-xcb.so.1 -> libX11-xcb.so.1.0.0 -rw-r--r-- 1 root root 5.9K Aug 30 2018 libX11-xcb.so.1.0.0 -rw-r--r-- 1 root root 2.2M Aug 30 2018 libX11.a lrwxrwxrwx 1 root root 15 Aug 30 2018 libX11.so -> libX11.so.6.3.0 lrwxrwxrwx 1 root root 15 Aug 30 2018 libX11.so.6 -> libX11.so.6.3.0 -rw-r--r-- 1 root root 1.3M Aug 30 2018 libX11.so.6.3.0 -rw-r--r-- 1 root root 19K Jun 15 2013 libXau.a lrwxrwxrwx 1 root root 15 Jun 15 2013 libXau.so -> libXau.so.6.0.0 lrwxrwxrwx 1 root root 15 Jun 15 2013 libXau.so.6 -> libXau.so.6.0.0 -rw-r--r-- 1 root root 15K Jun 15 2013 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 -rw-r--r-- 1 root root 7.7K Jun 16 2013 libXcomposite.a lrwxrwxrwx 1 root root 22 Jun 16 2013 libXcomposite.so -> libXcomposite.so.1.0.0 lrwxrwxrwx 1 root root 22 Jun 16 2013 libXcomposite.so.1 -> libXcomposite.so.1.0.0 -rw-r--r-- 1 root root 10K Jun 16 2013 libXcomposite.so.1.0.0 -rw-r--r-- 1 root root 54K Aug 2 2018 libXcursor.a lrwxrwxrwx 1 root root 19 Aug 2 2018 libXcursor.so -> libXcursor.so.1.0.2 lrwxrwxrwx 1 root root 19 Aug 2 2018 libXcursor.so.1 -> libXcursor.so.1.0.2 -rw-r--r-- 1 root root 39K Aug 2 2018 libXcursor.so.1.0.2 -rw-r--r-- 1 root root 6.8K Jul 16 2014 libXdamage.a lrwxrwxrwx 1 root root 19 Jul 16 2014 libXdamage.so -> libXdamage.so.1.1.0 lrwxrwxrwx 1 root root 19 Jul 16 2014 libXdamage.so.1 -> libXdamage.so.1.1.0 -rw-r--r-- 1 root root 11K Jul 16 2014 libXdamage.so.1.1.0 -rw-r--r-- 1 root root 30K Dec 3 2015 libXdmcp.a lrwxrwxrwx 1 root root 17 Dec 3 2015 libXdmcp.so -> libXdmcp.so.6.0.0 lrwxrwxrwx 1 root root 17 Dec 3 2015 libXdmcp.so.6 -> libXdmcp.so.6.0.0 -rw-r--r-- 1 root root 23K Dec 3 2015 libXdmcp.so.6.0.0 -rw-r--r-- 1 root root 120K Oct 25 2014 libXext.a lrwxrwxrwx 1 root root 16 Oct 25 2014 libXext.so -> libXext.so.6.4.0 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 -rw-r--r-- 1 root root 26K Aug 4 2014 libXfixes.a lrwxrwxrwx 1 root root 18 Aug 4 2014 libXfixes.so -> libXfixes.so.3.1.0 lrwxrwxrwx 1 root root 18 Aug 4 2014 libXfixes.so.3 -> libXfixes.so.3.1.0 -rw-r--r-- 1 root root 23K Aug 4 2014 libXfixes.so.3.1.0 -rw-r--r-- 1 root root 127K Jul 13 2014 libXft.a lrwxrwxrwx 1 root root 15 Jul 13 2014 libXft.so -> libXft.so.2.3.2 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 -rw-r--r-- 1 root root 157K Jan 24 2016 libXi.a lrwxrwxrwx 1 root root 14 Jan 24 2016 libXi.so -> libXi.so.6.1.0 lrwxrwxrwx 1 root root 14 Jan 24 2016 libXi.so.6 -> libXi.so.6.1.0 -rw-r--r-- 1 root root 63K Jan 24 2016 libXi.so.6.1.0 -rw-r--r-- 1 root root 6.8K Jun 30 2013 libXinerama.a lrwxrwxrwx 1 root root 20 Jun 30 2013 libXinerama.so -> libXinerama.so.1.0.0 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 Jan 25 2017 libXpm.so.4 -> libXpm.so.4.11.0 -rw-r--r-- 1 root root 71K Jan 25 2017 libXpm.so.4.11.0 -rw-r--r-- 1 root root 64K Aug 3 2015 libXrandr.a lrwxrwxrwx 1 root root 18 Aug 3 2015 libXrandr.so -> libXrandr.so.2.2.0 lrwxrwxrwx 1 root root 18 Aug 3 2015 libXrandr.so.2 -> libXrandr.so.2.2.0 -rw-r--r-- 1 root root 43K Aug 3 2015 libXrandr.so.2.2.0 -rw-r--r-- 1 root root 60K Jul 14 2015 libXrender.a lrwxrwxrwx 1 root root 19 Jul 14 2015 libXrender.so -> libXrender.so.1.3.0 lrwxrwxrwx 1 root root 19 Jul 14 2015 libXrender.so.1 -> libXrender.so.1.3.0 -rw-r--r-- 1 root root 39K Jul 14 2015 libXrender.so.1.3.0 lrwxrwxrwx 1 root root 14 Jul 14 2015 libXt.so.6 -> libXt.so.6.0.0 -rw-r--r-- 1 root root 417K Jul 14 2015 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 -rw-r--r-- 1 root root 22K Feb 5 2019 libanl.a lrwxrwxrwx 1 root root 33 Feb 5 2019 libanl.so -> /lib/x86_64-linux-gnu/libanl.so.1 lrwxrwxrwx 1 root root 20 May 21 2019 libapt-inst.so.2.0 -> libapt-inst.so.2.0.0 -rw-r--r-- 1 root root 51K May 21 2019 libapt-inst.so.2.0.0 lrwxrwxrwx 1 root root 19 May 21 2019 libapt-pkg.so.5.0 -> libapt-pkg.so.5.0.0 -rw-r--r-- 1 root root 1.5M May 21 2019 libapt-pkg.so.5.0.0 lrwxrwxrwx 1 root root 23 May 21 2019 libapt-private.so.0.0 -> libapt-private.so.0.0.0 -rw-r--r-- 1 root root 331K May 21 2019 libapt-private.so.0.0.0 lrwxrwxrwx 1 root root 16 Oct 4 2019 libasan.so.2 -> libasan.so.2.0.0 -rw-r--r-- 1 root root 994K Oct 4 2019 libasan.so.2.0.0 lrwxrwxrwx 1 root root 16 Jul 14 2017 libasn1.so.8 -> libasn1.so.8.0.0 -rw-r--r-- 1 root root 647K Jul 14 2017 libasn1.so.8.0.0 lrwxrwxrwx 1 root root 23 Oct 23 2015 libatk-1.0.so -> libatk-1.0.so.0.21809.1 lrwxrwxrwx 1 root root 23 Oct 23 2015 libatk-1.0.so.0 -> libatk-1.0.so.0.21809.1 -rw-r--r-- 1 root root 147K Oct 23 2015 libatk-1.0.so.0.21809.1 lrwxrwxrwx 1 root root 18 Oct 4 2019 libatomic.so.1 -> libatomic.so.1.1.0 -rw-r--r-- 1 root root 27K Oct 4 2019 libatomic.so.1.1.0 lrwxrwxrwx 1 root root 24 Jan 30 2019 libavahi-client.so.3 -> libavahi-client.so.3.2.9 -rw-r--r-- 1 root root 67K Jan 30 2019 libavahi-client.so.3.2.9 lrwxrwxrwx 1 root root 24 Jan 30 2019 libavahi-common.so.3 -> libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 47K Jan 30 2019 libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 17M Aug 23 2018 libavcodec-ffmpeg.a lrwxrwxrwx 1 root root 30 Aug 23 2018 libavcodec-ffmpeg.so -> libavcodec-ffmpeg.so.56.60.100 lrwxrwxrwx 1 root root 30 Aug 23 2018 libavcodec-ffmpeg.so.56 -> libavcodec-ffmpeg.so.56.60.100 -rw-r--r-- 1 root root 12M Aug 23 2018 libavcodec-ffmpeg.so.56.60.100 lrwxrwxrwx 1 root root 19 Aug 23 2018 libavcodec.a -> libavcodec-ffmpeg.a lrwxrwxrwx 1 root root 20 Aug 23 2018 libavcodec.so -> libavcodec-ffmpeg.so -rw-r--r-- 1 root root 4.1M Aug 23 2018 libavformat-ffmpeg.a lrwxrwxrwx 1 root root 31 Aug 23 2018 libavformat-ffmpeg.so -> libavformat-ffmpeg.so.56.40.101 lrwxrwxrwx 1 root root 31 Aug 23 2018 libavformat-ffmpeg.so.56 -> libavformat-ffmpeg.so.56.40.101 -rw-r--r-- 1 root root 2.0M Aug 23 2018 libavformat-ffmpeg.so.56.40.101 lrwxrwxrwx 1 root root 20 Aug 23 2018 libavformat.a -> libavformat-ffmpeg.a lrwxrwxrwx 1 root root 21 Aug 23 2018 libavformat.so -> libavformat-ffmpeg.so -rw-r--r-- 1 root root 573K Aug 23 2018 libavutil-ffmpeg.a lrwxrwxrwx 1 root root 29 Aug 23 2018 libavutil-ffmpeg.so -> libavutil-ffmpeg.so.54.31.100 lrwxrwxrwx 1 root root 29 Aug 23 2018 libavutil-ffmpeg.so.54 -> libavutil-ffmpeg.so.54.31.100 -rw-r--r-- 1 root root 367K Aug 23 2018 libavutil-ffmpeg.so.54.31.100 lrwxrwxrwx 1 root root 18 Aug 23 2018 libavutil.a -> libavutil-ffmpeg.a lrwxrwxrwx 1 root root 19 Aug 23 2018 libavutil.so -> libavutil-ffmpeg.so lrwxrwxrwx 1 root root 23 Dec 7 2018 libbfd-2.26-system.so -> libbfd-2.26.1-system.so -rw-r--r-- 1 root root 1.3M Dec 7 2018 libbfd-2.26.1-system.so lrwxrwxrwx 1 root root 18 Jan 4 2016 libbluray.so.1 -> libbluray.so.1.9.2 -rw-r--r-- 1 root root 291K Jan 4 2016 libbluray.so.1.9.2 -rw-r--r-- 1 root root 4.9M Feb 5 2019 libc.a -rw-r--r-- 1 root root 298 Feb 5 2019 libc.so -rw-r--r-- 1 root root 22K Feb 5 2019 libc_nonshared.a -rw-r--r-- 1 root root 42K Jan 10 2016 libcairo-gobject.a lrwxrwxrwx 1 root root 29 Jan 10 2016 libcairo-gobject.so -> libcairo-gobject.so.2.11400.6 lrwxrwxrwx 1 root root 29 Jan 10 2016 libcairo-gobject.so.2 -> libcairo-gobject.so.2.11400.6 -rw-r--r-- 1 root root 35K Jan 10 2016 libcairo-gobject.so.2.11400.6 -rw-r--r-- 1 root root 221K Jan 10 2016 libcairo-script-interpreter.a lrwxrwxrwx 1 root root 40 Jan 10 2016 libcairo-script-interpreter.so -> libcairo-script-interpreter.so.2.11400.6 lrwxrwxrwx 1 root root 40 Jan 10 2016 libcairo-script-interpreter.so.2 -> libcairo-script-interpreter.so.2.11400.6 -rw-r--r-- 1 root root 147K Jan 10 2016 libcairo-script-interpreter.so.2.11400.6 -rw-r--r-- 1 root root 2.1M Jan 10 2016 libcairo.a lrwxrwxrwx 1 root root 21 Jan 10 2016 libcairo.so -> libcairo.so.2.11400.6 lrwxrwxrwx 1 root root 21 Jan 10 2016 libcairo.so.2 -> libcairo.so.2.11400.6 -rw-r--r-- 1 root root 1.1M Jan 10 2016 libcairo.so.2.11400.6 lrwxrwxrwx 1 root root 15 Oct 4 2019 libcc1.so.0 -> libcc1.so.0.0.0 -rw-r--r-- 1 root root 91K Oct 4 2019 libcc1.so.0.0.0 lrwxrwxrwx 1 root root 34 Feb 5 2019 libcidn.so -> /lib/x86_64-linux-gnu/libcidn.so.1 lrwxrwxrwx 1 root root 19 Oct 4 2019 libcilkrts.so.5 -> libcilkrts.so.5.0.0 -rw-r--r-- 1 root root 113K Oct 4 2019 libcilkrts.so.5.0.0 -rw-r--r-- 1 root root 60K Feb 5 2019 libcrypt.a lrwxrwxrwx 1 root root 35 Feb 5 2019 libcrypt.so -> /lib/x86_64-linux-gnu/libcrypt.so.1 lrwxrwxrwx 1 root root 19 Dec 15 2014 libcrystalhd.so.3 -> libcrystalhd.so.3.6 -rw-r--r-- 1 root root 109K Dec 15 2014 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 Dec 5 2019 libcudnn.so -> /etc/alternatives/libcudnn_so lrwxrwxrwx 1 root root 17 Oct 28 2019 libcudnn.so.7 -> libcudnn.so.7.6.5 -rw-r--r-- 1 root root 409M Oct 28 2019 libcudnn.so.7.6.5 lrwxrwxrwx 1 root root 32 Dec 5 2019 libcudnn_static.a -> /etc/alternatives/libcudnn_stlib -rw-r--r-- 1 root root 386M Oct 28 2019 libcudnn_static_v7.a -rw-r--r-- 1 root root 510K Aug 20 2019 libcups.so.2 lrwxrwxrwx 1 root root 19 Sep 10 2019 libcurl-gnutls.so.3 -> libcurl-gnutls.so.4 lrwxrwxrwx 1 root root 23 Sep 10 2019 libcurl-gnutls.so.4 -> libcurl-gnutls.so.4.4.0 -rw-r--r-- 1 root root 435K Sep 10 2019 libcurl-gnutls.so.4.4.0 lrwxrwxrwx 1 root root 18 Feb 1 2016 libdatrie.so.1 -> libdatrie.so.1.3.3 -rw-r--r-- 1 root root 31K Feb 1 2016 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 361K Feb 7 2016 libdc1394.a lrwxrwxrwx 1 root root 20 Feb 7 2016 libdc1394.so -> libdc1394.so.22.1.11 lrwxrwxrwx 1 root root 20 Feb 7 2016 libdc1394.so.22 -> libdc1394.so.22.1.11 -rw-r--r-- 1 root root 216K Feb 7 2016 libdc1394.so.22.1.11 lrwxrwxrwx 1 root root 25 Nov 26 2015 libdebconfclient.so.0 -> libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 11K Nov 26 2015 libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 13K Feb 5 2019 libdl.a lrwxrwxrwx 1 root root 32 Feb 5 2019 libdl.so -> /lib/x86_64-linux-gnu/libdl.so.2 lrwxrwxrwx 1 root root 15 Jun 7 2018 libdrm.so.2 -> libdrm.so.2.4.0 -rw-r--r-- 1 root root 71K Jun 7 2018 libdrm.so.2.4.0 lrwxrwxrwx 1 root root 22 Jun 7 2018 libdrm_amdgpu.so.1 -> libdrm_amdgpu.so.1.0.0 -rw-r--r-- 1 root root 39K Jun 7 2018 libdrm_amdgpu.so.1.0.0 lrwxrwxrwx 1 root root 21 Jun 7 2018 libdrm_intel.so.1 -> libdrm_intel.so.1.0.0 -rw-r--r-- 1 root root 145K Jun 7 2018 libdrm_intel.so.1.0.0 lrwxrwxrwx 1 root root 23 Jun 7 2018 libdrm_nouveau.so.2 -> libdrm_nouveau.so.2.0.0 -rw-r--r-- 1 root root 31K Jun 7 2018 libdrm_nouveau.so.2.0.0 lrwxrwxrwx 1 root root 22 Jun 7 2018 libdrm_radeon.so.1 -> libdrm_radeon.so.1.0.1 -rw-r--r-- 1 root root 47K Jun 7 2018 libdrm_radeon.so.1.0.1 lrwxrwxrwx 1 root root 17 Feb 7 2016 libedit.so.2 -> libedit.so.2.0.53 -rw-r--r-- 1 root root 208K Feb 7 2016 libedit.so.2.0.53 -rw-r--r-- 1 root root 95K Jun 7 2019 libelf-0.165.so lrwxrwxrwx 1 root root 15 Jun 7 2019 libelf.so.1 -> libelf-0.165.so -rw-r--r-- 1 root root 339K Sep 12 2019 libexpat.a -rw-r--r-- 1 root root 951 Sep 12 2019 libexpat.la lrwxrwxrwx 1 root root 39 Sep 12 2019 libexpat.so -> /lib/x86_64-linux-gnu/libexpat.so.1.6.0 -rw-r--r-- 1 root root 340K Sep 12 2019 libexpatw.a -rw-r--r-- 1 root root 958 Sep 12 2019 libexpatw.la lrwxrwxrwx 1 root root 18 Sep 12 2019 libexpatw.so -> libexpatw.so.1.6.0 lrwxrwxrwx 1 root root 18 Sep 12 2019 libexpatw.so.1 -> libexpatw.so.1.6.0 -rw-r--r-- 1 root root 167K Sep 12 2019 libexpatw.so.1.6.0 lrwxrwxrwx 1 root root 15 Dec 14 2015 libffi.so.6 -> libffi.so.6.0.4 -rw-r--r-- 1 root root 31K Dec 14 2015 libffi.so.6.0.4 -rw-r--r-- 1 root root 454K Aug 16 2016 libfontconfig.a lrwxrwxrwx 1 root root 22 Aug 16 2016 libfontconfig.so -> libfontconfig.so.1.9.0 lrwxrwxrwx 1 root root 22 Aug 16 2016 libfontconfig.so.1 -> libfontconfig.so.1.9.0 -rw-r--r-- 1 root root 268K Aug 16 2016 libfontconfig.so.1.9.0 lrwxrwxrwx 1 root root 14 Feb 19 2016 libform.so.5 -> libform.so.5.9 -rw-r--r-- 1 root root 64K Feb 19 2016 libform.so.5.9 lrwxrwxrwx 1 root root 15 Feb 19 2016 libformw.so.5 -> libformw.so.5.9 -rw-r--r-- 1 root root 68K Feb 19 2016 libformw.so.5.9 -rw-r--r-- 1 root root 928K Sep 6 2019 libfreetype.a -rw-r--r-- 1 root root 908 Sep 6 2019 libfreetype.la lrwxrwxrwx 1 root root 21 Sep 6 2019 libfreetype.so -> libfreetype.so.6.12.1 lrwxrwxrwx 1 root root 21 Sep 6 2019 libfreetype.so.6 -> libfreetype.so.6.12.1 -rw-r--r-- 1 root root 679K Sep 6 2019 libfreetype.so.6.12.1 -rw-r--r-- 1 root root 1.3K Feb 5 2019 libg.a lrwxrwxrwx 1 root root 14 Feb 27 2019 libgd.so.3 -> libgd.so.3.0.0 -rw-r--r-- 1 root root 413K Feb 27 2019 libgd.so.3.0.0 lrwxrwxrwx 1 root root 16 Nov 16 2014 libgdbm.so.3 -> libgdbm.so.3.0.0 -rw-r--r-- 1 root root 23K Nov 16 2014 libgdbm.so.3.0.0 lrwxrwxrwx 1 root root 23 Nov 16 2014 libgdbm_compat.so.3 -> libgdbm_compat.so.3.0.0 -rw-r--r-- 1 root root 9.9K Nov 16 2014 libgdbm_compat.so.3.0.0 -rw-r--r-- 1 root root 1.3M Aug 2 2017 libgdk-x11-2.0.a lrwxrwxrwx 1 root root 27 Aug 2 2017 libgdk-x11-2.0.so -> libgdk-x11-2.0.so.0.2400.30 lrwxrwxrwx 1 root root 27 Aug 2 2017 libgdk-x11-2.0.so.0 -> libgdk-x11-2.0.so.0.2400.30 -rw-r--r-- 1 root root 724K Aug 2 2017 libgdk-x11-2.0.so.0.2400.30 lrwxrwxrwx 1 root root 29 Mar 20 2019 libgdk_pixbuf-2.0.so -> libgdk_pixbuf-2.0.so.0.3200.2 lrwxrwxrwx 1 root root 29 Mar 20 2019 libgdk_pixbuf-2.0.so.0 -> libgdk_pixbuf-2.0.so.0.3200.2 -rw-r--r-- 1 root root 136K Mar 20 2019 libgdk_pixbuf-2.0.so.0.3200.2 lrwxrwxrwx 1 root root 34 Mar 20 2019 libgdk_pixbuf_xlib-2.0.so -> libgdk_pixbuf_xlib-2.0.so.0.3200.2 lrwxrwxrwx 1 root root 34 Mar 20 2019 libgdk_pixbuf_xlib-2.0.so.0 -> libgdk_pixbuf_xlib-2.0.so.0.3200.2 -rw-r--r-- 1 root root 67K Mar 20 2019 libgdk_pixbuf_xlib-2.0.so.0.3200.2 lrwxrwxrwx 1 root root 28 Jan 28 2016 libgdkglext-x11-1.0.so.0 -> libgdkglext-x11-1.0.so.0.0.0 -rw-r--r-- 1 root root 399K Jan 28 2016 libgdkglext-x11-1.0.so.0.0.0 lrwxrwxrwx 1 root root 20 Oct 4 2019 libgfortran.so.3 -> libgfortran.so.3.0.0 -rw-r--r-- 1 root root 1.2M Oct 4 2019 libgfortran.so.3.0.0 -rw-r--r-- 1 root root 3.6M Mar 24 2020 libgio-2.0.a lrwxrwxrwx 1 root root 22 Mar 24 2020 libgio-2.0.so -> libgio-2.0.so.0.4800.2 lrwxrwxrwx 1 root root 22 Mar 24 2020 libgio-2.0.so.0 -> libgio-2.0.so.0.4800.2 -rw-r--r-- 1 root root 1.6M Mar 24 2020 libgio-2.0.so.0.4800.2 lrwxrwxrwx 1 root root 28 Dec 1 2015 libgirepository-1.0.so.1 -> libgirepository-1.0.so.1.0.0 -rw-r--r-- 1 root root 208K Dec 1 2015 libgirepository-1.0.so.1.0.0 lrwxrwxrwx 1 root root 17 Jun 14 2018 libglapi.so.0 -> libglapi.so.0.0.0 -rw-r--r-- 1 root root 191K Jun 14 2018 libglapi.so.0.0.0 -rw-r--r-- 1 root root 1.8M Mar 24 2020 libglib-2.0.a lrwxrwxrwx 1 root root 38 Mar 24 2020 libglib-2.0.so -> /lib/x86_64-linux-gnu/libglib-2.0.so.0 lrwxrwxrwx 1 root root 15 Dec 13 2016 libgme.so.0 -> libgme.so.0.6.0 -rw-r--r-- 1 root root 311K Dec 13 2016 libgme.so.0.6.0 -rw-r--r-- 1 root root 14K Mar 24 2020 libgmodule-2.0.a lrwxrwxrwx 1 root root 26 Mar 24 2020 libgmodule-2.0.so -> libgmodule-2.0.so.0.4800.2 lrwxrwxrwx 1 root root 26 Mar 24 2020 libgmodule-2.0.so.0 -> libgmodule-2.0.so.0.4800.2 -rw-r--r-- 1 root root 15K Mar 24 2020 libgmodule-2.0.so.0.4800.2 lrwxrwxrwx 1 root root 16 Nov 17 2015 libgmp.so.10 -> libgmp.so.10.3.0 -rw-r--r-- 1 root root 511K Nov 17 2015 libgmp.so.10.3.0 lrwxrwxrwx 1 root root 19 May 29 2019 libgnutls.so.30 -> libgnutls.so.30.6.2 -rw-r--r-- 1 root root 1.2M May 29 2019 libgnutls.so.30.6.2 -rw-r--r-- 1 root root 633K Mar 24 2020 libgobject-2.0.a lrwxrwxrwx 1 root root 26 Mar 24 2020 libgobject-2.0.so -> libgobject-2.0.so.0.4800.2 lrwxrwxrwx 1 root root 26 Mar 24 2020 libgobject-2.0.so.0 -> libgobject-2.0.so.0.4800.2 -rw-r--r-- 1 root root 332K Mar 24 2020 libgobject-2.0.so.0.4800.2 lrwxrwxrwx 1 root root 16 Oct 4 2019 libgomp.so.1 -> libgomp.so.1.0.0 -rw-r--r-- 1 root root 136K Oct 4 2019 libgomp.so.1.0.0 lrwxrwxrwx 1 root root 17 Aug 18 2017 libgraphite2.so.2.0.0 -> libgraphite2.so.3 lrwxrwxrwx 1 root root 21 Aug 18 2017 libgraphite2.so.3 -> libgraphite2.so.3.0.1 -rw-r--r-- 1 root root 151K Aug 18 2017 libgraphite2.so.3.0.1 lrwxrwxrwx 1 root root 16 Apr 30 2012 libgsm.so.1 -> libgsm.so.1.0.12 -rw-r--r-- 1 root root 55K Apr 30 2012 libgsm.so.1.0.12 lrwxrwxrwx 1 root root 18 Jul 14 2017 libgssapi.so.3 -> libgssapi.so.3.0.0 -rw-r--r-- 1 root root 259K Jul 14 2017 libgssapi.so.3.0.0 lrwxrwxrwx 1 root root 21 Jan 14 2019 libgssapi_krb5.so.2 -> libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 295K Jan 14 2019 libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 2.7K Mar 24 2020 libgthread-2.0.a lrwxrwxrwx 1 root root 26 Mar 24 2020 libgthread-2.0.so -> libgthread-2.0.so.0.4800.2 lrwxrwxrwx 1 root root 26 Mar 24 2020 libgthread-2.0.so.0 -> libgthread-2.0.so.0.4800.2 -rw-r--r-- 1 root root 6.1K Mar 24 2020 libgthread-2.0.so.0.4800.2 -rw-r--r-- 1 root root 9.1M Aug 2 2017 libgtk-x11-2.0.a lrwxrwxrwx 1 root root 27 Aug 2 2017 libgtk-x11-2.0.so -> libgtk-x11-2.0.so.0.2400.30 lrwxrwxrwx 1 root root 27 Aug 2 2017 libgtk-x11-2.0.so.0 -> libgtk-x11-2.0.so.0.2400.30 -rw-r--r-- 1 root root 4.3M Aug 2 2017 libgtk-x11-2.0.so.0.2400.30 drwxr-xr-x 2 root root 4.0K Mar 26 2020 libgtk2.0-0 lrwxrwxrwx 1 root root 28 Jan 28 2016 libgtkglext-x11-1.0.so.0 -> libgtkglext-x11-1.0.so.0.0.0 -rw-r--r-- 1 root root 15K Jan 28 2016 libgtkglext-x11-1.0.so.0.0.0 -rw-r--r-- 1 root root 49K Aug 17 2016 libharfbuzz-gobject.a lrwxrwxrwx 1 root root 32 Aug 17 2016 libharfbuzz-gobject.so -> libharfbuzz-gobject.so.0.10000.1 lrwxrwxrwx 1 root root 32 Aug 17 2016 libharfbuzz-gobject.so.0 -> libharfbuzz-gobject.so.0.10000.1 -rw-r--r-- 1 root root 43K Aug 17 2016 libharfbuzz-gobject.so.0.10000.1 -rw-r--r-- 1 root root 6.1K Aug 17 2016 libharfbuzz-icu.a lrwxrwxrwx 1 root root 28 Aug 17 2016 libharfbuzz-icu.so -> libharfbuzz-icu.so.0.10000.1 lrwxrwxrwx 1 root root 28 Aug 17 2016 libharfbuzz-icu.so.0 -> libharfbuzz-icu.so.0.10000.1 -rw-r--r-- 1 root root 11K Aug 17 2016 libharfbuzz-icu.so.0.10000.1 -rw-r--r-- 1 root root 639K Aug 17 2016 libharfbuzz.a lrwxrwxrwx 1 root root 24 Aug 17 2016 libharfbuzz.so -> libharfbuzz.so.0.10000.1 lrwxrwxrwx 1 root root 24 Aug 17 2016 libharfbuzz.so.0 -> libharfbuzz.so.0.10000.1 -rw-r--r-- 1 root root 375K Aug 17 2016 libharfbuzz.so.0.10000.1 lrwxrwxrwx 1 root root 19 Jul 14 2017 libhcrypto.so.4 -> libhcrypto.so.4.1.0 -rw-r--r-- 1 root root 200K Jul 14 2017 libhcrypto.so.4.1.0 lrwxrwxrwx 1 root root 20 Jul 14 2017 libheimbase.so.1 -> libheimbase.so.1.0.0 -rw-r--r-- 1 root root 60K Jul 14 2017 libheimbase.so.1.0.0 lrwxrwxrwx 1 root root 20 Jul 14 2017 libheimntlm.so.0 -> libheimntlm.so.0.1.0 -rw-r--r-- 1 root root 36K Jul 14 2017 libheimntlm.so.0.1.0 lrwxrwxrwx 1 root root 17 Feb 3 2017 libhogweed.so.4 -> libhogweed.so.4.2 -rw-r--r-- 1 root root 203K Feb 3 2017 libhogweed.so.4.2 lrwxrwxrwx 1 root root 17 Jul 14 2017 libhx509.so.5 -> libhx509.so.5.0.0 -rw-r--r-- 1 root root 297K Jul 14 2017 libhx509.so.5.0.0 -rw-r--r-- 1 root root 25M Mar 16 2020 libicudata.a lrwxrwxrwx 1 root root 18 Mar 16 2020 libicudata.so -> libicudata.so.55.1 lrwxrwxrwx 1 root root 18 Mar 16 2020 libicudata.so.55 -> libicudata.so.55.1 -rw-r--r-- 1 root root 25M Mar 16 2020 libicudata.so.55.1 -rw-r--r-- 1 root root 5.0M Mar 16 2020 libicui18n.a lrwxrwxrwx 1 root root 18 Mar 16 2020 libicui18n.so -> libicui18n.so.55.1 lrwxrwxrwx 1 root root 18 Mar 16 2020 libicui18n.so.55 -> libicui18n.so.55.1 -rw-r--r-- 1 root root 2.4M Mar 16 2020 libicui18n.so.55.1 -rw-r--r-- 1 root root 83K Mar 16 2020 libicuio.a lrwxrwxrwx 1 root root 16 Mar 16 2020 libicuio.so -> libicuio.so.55.1 lrwxrwxrwx 1 root root 16 Mar 16 2020 libicuio.so.55 -> libicuio.so.55.1 -rw-r--r-- 1 root root 55K Mar 16 2020 libicuio.so.55.1 -rw-r--r-- 1 root root 700K Mar 16 2020 libicule.a lrwxrwxrwx 1 root root 16 Mar 16 2020 libicule.so -> libicule.so.55.1 lrwxrwxrwx 1 root root 16 Mar 16 2020 libicule.so.55 -> libicule.so.55.1 -rw-r--r-- 1 root root 351K Mar 16 2020 libicule.so.55.1 -rw-r--r-- 1 root root 77K Mar 16 2020 libiculx.a lrwxrwxrwx 1 root root 16 Mar 16 2020 libiculx.so -> libiculx.so.55.1 lrwxrwxrwx 1 root root 16 Mar 16 2020 libiculx.so.55 -> libiculx.so.55.1 -rw-r--r-- 1 root root 47K Mar 16 2020 libiculx.so.55.1 -rw-r--r-- 1 root root 109K Mar 16 2020 libicutest.a lrwxrwxrwx 1 root root 18 Mar 16 2020 libicutest.so -> libicutest.so.55.1 lrwxrwxrwx 1 root root 18 Mar 16 2020 libicutest.so.55 -> libicutest.so.55.1 -rw-r--r-- 1 root root 64K Mar 16 2020 libicutest.so.55.1 -rw-r--r-- 1 root root 347K Mar 16 2020 libicutu.a lrwxrwxrwx 1 root root 16 Mar 16 2020 libicutu.so -> libicutu.so.55.1 lrwxrwxrwx 1 root root 16 Mar 16 2020 libicutu.so.55 -> libicutu.so.55.1 -rw-r--r-- 1 root root 195K Mar 16 2020 libicutu.so.55.1 -rw-r--r-- 1 root root 2.8M Mar 16 2020 libicuuc.a lrwxrwxrwx 1 root root 16 Mar 16 2020 libicuuc.so -> libicuuc.so.55.1 lrwxrwxrwx 1 root root 16 Mar 16 2020 libicuuc.so.55 -> libicuuc.so.55.1 -rw-r--r-- 1 root root 1.6M Mar 16 2020 libicuuc.so.55.1 lrwxrwxrwx 1 root root 17 Sep 25 2017 libidn.so.11 -> libidn.so.11.6.15 -rw-r--r-- 1 root root 203K Sep 25 2017 libidn.so.11.6.15 -rw-r--r-- 1 root root 808 Feb 5 2019 libieee.a lrwxrwxrwx 1 root root 16 Jan 25 2016 libisl.so.15 -> libisl.so.15.1.1 -rw-r--r-- 1 root root 1.5M Jan 25 2016 libisl.so.15.1.1 lrwxrwxrwx 1 root root 15 Oct 4 2019 libitm.so.1 -> libitm.so.1.0.0 -rw-r--r-- 1 root root 111K Oct 4 2019 libitm.so.1.0.0 -rw-r--r-- 1 root root 529K Jun 27 2018 libjasper.a lrwxrwxrwx 1 root root 18 Jun 27 2018 libjasper.so -> libjasper.so.1.0.0 lrwxrwxrwx 1 root root 18 Jun 27 2018 libjasper.so.1 -> libjasper.so.1.0.0 -rw-r--r-- 1 root root 311K Jun 27 2018 libjasper.so.1.0.0 -rw-r--r-- 1 root root 52K Nov 10 2014 libjbig.a lrwxrwxrwx 1 root root 12 Nov 10 2014 libjbig.so -> libjbig.so.0 -rw-r--r-- 1 root root 57K Nov 10 2014 libjbig.so.0 -rw-r--r-- 1 root root 521K Nov 13 2019 libjpeg.a lrwxrwxrwx 1 root root 16 Nov 13 2019 libjpeg.so -> libjpeg.so.8.0.2 lrwxrwxrwx 1 root root 16 Nov 13 2019 libjpeg.so.8 -> libjpeg.so.8.0.2 -rw-r--r-- 1 root root 355K Nov 13 2019 libjpeg.so.8.0.2 lrwxrwxrwx 1 root root 18 Jan 14 2019 libk5crypto.so.3 -> libk5crypto.so.3.1 -rw-r--r-- 1 root root 183K Jan 14 2019 libk5crypto.so.3.1 lrwxrwxrwx 1 root root 17 Jul 14 2017 libkrb5.so.26 -> libkrb5.so.26.0.0 -rw-r--r-- 1 root root 548K Jul 14 2017 libkrb5.so.26.0.0 lrwxrwxrwx 1 root root 14 Jan 14 2019 libkrb5.so.3 -> libkrb5.so.3.3 -rw-r--r-- 1 root root 841K Jan 14 2019 libkrb5.so.3.3 lrwxrwxrwx 1 root root 21 Jan 14 2019 libkrb5support.so.0 -> libkrb5support.so.0.1 -rw-r--r-- 1 root root 43K Jan 14 2019 libkrb5support.so.0.1 lrwxrwxrwx 1 root root 21 Aug 20 2019 liblber-2.4.so.2 -> liblber-2.4.so.2.10.5 -rw-r--r-- 1 root root 59K Aug 20 2019 liblber-2.4.so.2.10.5 lrwxrwxrwx 1 root root 18 Aug 20 2019 libldap-2.4.so.2 -> libldap_r-2.4.so.2 lrwxrwxrwx 1 root root 23 Aug 20 2019 libldap_r-2.4.so.2 -> libldap_r-2.4.so.2.10.5 -rw-r--r-- 1 root root 316K Aug 20 2019 libldap_r-2.4.so.2.10.5 lrwxrwxrwx 1 root root 16 Oct 4 2019 liblsan.so.0 -> liblsan.so.0.0.0 -rw-r--r-- 1 root root 261K Oct 4 2019 liblsan.so.0.0.0 -rw-r--r-- 1 root root 63K Feb 7 2016 libltdl.a -rw-r--r-- 1 root root 950 Feb 7 2016 libltdl.la lrwxrwxrwx 1 root root 16 Feb 7 2016 libltdl.so -> libltdl.so.7.3.1 lrwxrwxrwx 1 root root 16 Feb 7 2016 libltdl.so.7 -> libltdl.so.7.3.1 -rw-r--r-- 1 root root 39K Feb 7 2016 libltdl.so.7.3.1 lrwxrwxrwx 1 root root 15 Apr 18 2016 liblz4.so.1 -> liblz4.so.1.7.1 -rw-r--r-- 1 root root 95K Apr 18 2016 liblz4.so.1.7.1 -rw-r--r-- 1 root root 263K Feb 12 2014 liblzma.a lrwxrwxrwx 1 root root 38 Feb 12 2014 liblzma.so -> /lib/x86_64-linux-gnu/liblzma.so.5.0.0 -rw-r--r-- 1 root root 2.2M Feb 5 2019 libm.a -rw-r--r-- 1 root root 186 Feb 5 2019 libm.so -rw-r--r-- 1 root root 1.6K Feb 5 2019 libmcheck.a lrwxrwxrwx 1 root root 14 Feb 19 2016 libmenu.so.5 -> libmenu.so.5.9 -rw-r--r-- 1 root root 31K Feb 19 2016 libmenu.so.5.9 lrwxrwxrwx 1 root root 15 Feb 19 2016 libmenuw.so.5 -> libmenuw.so.5.9 -rw-r--r-- 1 root root 35K Feb 19 2016 libmenuw.so.5.9 lrwxrwxrwx 1 root root 19 Aug 30 2015 libmodplug.so.1 -> libmodplug.so.1.0.0 -rw-r--r-- 1 root root 303K Aug 30 2015 libmodplug.so.1.0.0 lrwxrwxrwx 1 root root 19 Feb 7 2016 libmp3lame.so.0 -> libmp3lame.so.0.0.0 -rw-r--r-- 1 root root 283K Feb 7 2016 libmp3lame.so.0.0.0 lrwxrwxrwx 1 root root 15 Feb 25 2015 libmpc.so.3 -> libmpc.so.3.0.0 -rw-r--r-- 1 root root 95K Feb 25 2015 libmpc.so.3.0.0 lrwxrwxrwx 1 root root 16 Mar 13 2016 libmpfr.so.4 -> libmpfr.so.4.1.4 -rw-r--r-- 1 root root 403K Mar 13 2016 libmpfr.so.4.1.4 lrwxrwxrwx 1 root root 15 Oct 4 2019 libmpx.so.0 -> libmpx.so.0.0.0 -rw-r--r-- 1 root root 19K Oct 4 2019 libmpx.so.0.0.0 lrwxrwxrwx 1 root root 23 Oct 4 2019 libmpxwrappers.so.0 -> libmpxwrappers.so.0.0.0 -rw-r--r-- 1 root root 11K Oct 4 2019 libmpxwrappers.so.0.0.0 -rw-r--r-- 1 root root 286K Feb 5 2019 libmvec.a lrwxrwxrwx 1 root root 34 Feb 5 2019 libmvec.so -> /lib/x86_64-linux-gnu/libmvec.so.1 -rw-r--r-- 1 root root 5.9K Feb 5 2019 libmvec_nonshared.a lrwxrwxrwx 1 root root 12 Jul 13 2019 libnccl.so -> libnccl.so.2 lrwxrwxrwx 1 root root 16 Jul 13 2019 libnccl.so.2 -> libnccl.so.2.4.8 -rw-r--r-- 1 root root 105M Jul 13 2019 libnccl.so.2.4.8 -rw-r--r-- 1 root root 106M Jul 13 2019 libnccl_static.a lrwxrwxrwx 1 root root 16 Feb 3 2017 libnettle.so.6 -> libnettle.so.6.2 -rw-r--r-- 1 root root 215K Feb 3 2017 libnettle.so.6.2 -rw-r--r-- 1 root root 191K Feb 5 2019 libnsl.a lrwxrwxrwx 1 root root 33 Feb 5 2019 libnsl.so -> /lib/x86_64-linux-gnu/libnsl.so.1 lrwxrwxrwx 1 root root 40 Feb 5 2019 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 37 Feb 5 2019 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 39 Feb 5 2019 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 40 Feb 5 2019 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 37 Feb 5 2019 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 41 Feb 5 2019 libnss_nisplus.so -> /lib/x86_64-linux-gnu/libnss_nisplus.so.2 lrwxrwxrwx 1 root root 16 Oct 20 2017 libnuma.so.1 -> libnuma.so.1.0.0 -rw-r--r-- 1 root root 43K Oct 20 2017 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 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 27 Dec 7 2018 libopcodes-2.26-system.so -> libopcodes-2.26.1-system.so -rw-r--r-- 1 root root 1.7M Dec 7 2018 libopcodes-2.26.1-system.so -rw-r--r-- 1 root root 1016K Sep 13 2018 libopencv_calib3d.a lrwxrwxrwx 1 root root 24 Sep 13 2018 libopencv_calib3d.so -> libopencv_calib3d.so.2.4 lrwxrwxrwx 1 root root 26 Sep 13 2018 libopencv_calib3d.so.2.4 -> libopencv_calib3d.so.2.4.9 -rw-r--r-- 1 root root 583K Sep 13 2018 libopencv_calib3d.so.2.4.9 -rw-r--r-- 1 root root 1.9M Sep 13 2018 libopencv_contrib.a lrwxrwxrwx 1 root root 24 Sep 13 2018 libopencv_contrib.so -> libopencv_contrib.so.2.4 lrwxrwxrwx 1 root root 26 Sep 13 2018 libopencv_contrib.so.2.4 -> libopencv_contrib.so.2.4.9 -rw-r--r-- 1 root root 907K Sep 13 2018 libopencv_contrib.so.2.4.9 -rw-r--r-- 1 root root 4.2M Sep 13 2018 libopencv_core.a lrwxrwxrwx 1 root root 21 Sep 13 2018 libopencv_core.so -> libopencv_core.so.2.4 lrwxrwxrwx 1 root root 23 Sep 13 2018 libopencv_core.so.2.4 -> libopencv_core.so.2.4.9 -rw-r--r-- 1 root root 2.2M Sep 13 2018 libopencv_core.so.2.4.9 -rw-r--r-- 1 root root 1.4M Sep 13 2018 libopencv_features2d.a lrwxrwxrwx 1 root root 27 Sep 13 2018 libopencv_features2d.so -> libopencv_features2d.so.2.4 lrwxrwxrwx 1 root root 29 Sep 13 2018 libopencv_features2d.so.2.4 -> libopencv_features2d.so.2.4.9 -rw-r--r-- 1 root root 623K Sep 13 2018 libopencv_features2d.so.2.4.9 -rw-r--r-- 1 root root 1.1M Sep 13 2018 libopencv_flann.a lrwxrwxrwx 1 root root 22 Sep 13 2018 libopencv_flann.so -> libopencv_flann.so.2.4 lrwxrwxrwx 1 root root 24 Sep 13 2018 libopencv_flann.so.2.4 -> libopencv_flann.so.2.4.9 -rw-r--r-- 1 root root 415K Sep 13 2018 libopencv_flann.so.2.4.9 -rw-r--r-- 1 root root 877K Sep 13 2018 libopencv_gpu.a lrwxrwxrwx 1 root root 20 Sep 13 2018 libopencv_gpu.so -> libopencv_gpu.so.2.4 lrwxrwxrwx 1 root root 22 Sep 13 2018 libopencv_gpu.so.2.4 -> libopencv_gpu.so.2.4.9 -rw-r--r-- 1 root root 367K Sep 13 2018 libopencv_gpu.so.2.4.9 -rw-r--r-- 1 root root 804K Sep 13 2018 libopencv_highgui.a lrwxrwxrwx 1 root root 24 Sep 13 2018 libopencv_highgui.so -> libopencv_highgui.so.2.4 lrwxrwxrwx 1 root root 26 Sep 13 2018 libopencv_highgui.so.2.4 -> libopencv_highgui.so.2.4.9 -rw-r--r-- 1 root root 324K Sep 13 2018 libopencv_highgui.so.2.4.9 -rw-r--r-- 1 root root 3.7M Sep 13 2018 libopencv_imgproc.a lrwxrwxrwx 1 root root 24 Sep 13 2018 libopencv_imgproc.so -> libopencv_imgproc.so.2.4 lrwxrwxrwx 1 root root 26 Sep 13 2018 libopencv_imgproc.so.2.4 -> libopencv_imgproc.so.2.4.9 -rw-r--r-- 1 root root 2.0M Sep 13 2018 libopencv_imgproc.so.2.4.9 -rw-r--r-- 1 root root 2.4M Sep 13 2018 libopencv_legacy.a lrwxrwxrwx 1 root root 23 Sep 13 2018 libopencv_legacy.so -> libopencv_legacy.so.2.4 lrwxrwxrwx 1 root root 25 Sep 13 2018 libopencv_legacy.so.2.4 -> libopencv_legacy.so.2.4.9 -rw-r--r-- 1 root root 1.1M Sep 13 2018 libopencv_legacy.so.2.4.9 -rw-r--r-- 1 root root 975K Sep 13 2018 libopencv_ml.a lrwxrwxrwx 1 root root 19 Sep 13 2018 libopencv_ml.so -> libopencv_ml.so.2.4 lrwxrwxrwx 1 root root 21 Sep 13 2018 libopencv_ml.so.2.4 -> libopencv_ml.so.2.4.9 -rw-r--r-- 1 root root 493K Sep 13 2018 libopencv_ml.so.2.4.9 -rw-r--r-- 1 root root 927K Sep 13 2018 libopencv_objdetect.a lrwxrwxrwx 1 root root 26 Sep 13 2018 libopencv_objdetect.so -> libopencv_objdetect.so.2.4 lrwxrwxrwx 1 root root 28 Sep 13 2018 libopencv_objdetect.so.2.4 -> libopencv_objdetect.so.2.4.9 -rw-r--r-- 1 root root 471K Sep 13 2018 libopencv_objdetect.so.2.4.9 -rw-r--r-- 1 root root 3.2M Sep 13 2018 libopencv_ocl.a lrwxrwxrwx 1 root root 20 Sep 13 2018 libopencv_ocl.so -> libopencv_ocl.so.2.4 lrwxrwxrwx 1 root root 22 Sep 13 2018 libopencv_ocl.so.2.4 -> libopencv_ocl.so.2.4.9 -rw-r--r-- 1 root root 1.8M Sep 13 2018 libopencv_ocl.so.2.4.9 -rw-r--r-- 1 root root 181K Sep 13 2018 libopencv_photo.a lrwxrwxrwx 1 root root 22 Sep 13 2018 libopencv_photo.so -> libopencv_photo.so.2.4 lrwxrwxrwx 1 root root 24 Sep 13 2018 libopencv_photo.so.2.4 -> libopencv_photo.so.2.4.9 -rw-r--r-- 1 root root 115K Sep 13 2018 libopencv_photo.so.2.4.9 -rw-r--r-- 1 root root 1.1M Sep 13 2018 libopencv_stitching.a lrwxrwxrwx 1 root root 26 Sep 13 2018 libopencv_stitching.so -> libopencv_stitching.so.2.4 lrwxrwxrwx 1 root root 28 Sep 13 2018 libopencv_stitching.so.2.4 -> libopencv_stitching.so.2.4.9 -rw-r--r-- 1 root root 531K Sep 13 2018 libopencv_stitching.so.2.4.9 -rw-r--r-- 1 root root 496K Sep 13 2018 libopencv_superres.a lrwxrwxrwx 1 root root 25 Sep 13 2018 libopencv_superres.so -> libopencv_superres.so.2.4 lrwxrwxrwx 1 root root 27 Sep 13 2018 libopencv_superres.so.2.4 -> libopencv_superres.so.2.4.9 -rw-r--r-- 1 root root 231K Sep 13 2018 libopencv_superres.so.2.4.9 -rw-r--r-- 1 root root 1.6M Sep 13 2018 libopencv_ts.a lrwxrwxrwx 1 root root 19 Sep 13 2018 libopencv_ts.so -> libopencv_ts.so.2.4 lrwxrwxrwx 1 root root 21 Sep 13 2018 libopencv_ts.so.2.4 -> libopencv_ts.so.2.4.9 -rw-r--r-- 1 root root 679K Sep 13 2018 libopencv_ts.so.2.4.9 -rw-r--r-- 1 root root 561K Sep 13 2018 libopencv_video.a lrwxrwxrwx 1 root root 22 Sep 13 2018 libopencv_video.so -> libopencv_video.so.2.4 lrwxrwxrwx 1 root root 24 Sep 13 2018 libopencv_video.so.2.4 -> libopencv_video.so.2.4.9 -rw-r--r-- 1 root root 339K Sep 13 2018 libopencv_video.so.2.4.9 -rw-r--r-- 1 root root 499K Sep 13 2018 libopencv_videostab.a lrwxrwxrwx 1 root root 26 Sep 13 2018 libopencv_videostab.so -> libopencv_videostab.so.2.4 lrwxrwxrwx 1 root root 28 Sep 13 2018 libopencv_videostab.so.2.4 -> libopencv_videostab.so.2.4.9 -rw-r--r-- 1 root root 247K Sep 13 2018 libopencv_videostab.so.2.4.9 -rw-r--r-- 1 root root 141K May 28 2015 libopenjpeg.so.1.5.2 lrwxrwxrwx 1 root root 20 May 28 2015 libopenjpeg.so.5 -> libopenjpeg.so.1.5.2 -rw-r--r-- 1 root root 182K May 28 2015 libopenjpeg_JPWL.so.1.5.2 lrwxrwxrwx 1 root root 25 May 28 2015 libopenjpeg_JPWL.so.5 -> libopenjpeg_JPWL.so.1.5.2 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 20 Mar 17 2016 liborc-0.4.so.0 -> liborc-0.4.so.0.25.0 -rw-r--r-- 1 root root 514K Mar 17 2016 liborc-0.4.so.0.25.0 lrwxrwxrwx 1 root root 25 Mar 17 2016 liborc-test-0.4.so.0 -> liborc-test-0.4.so.0.25.0 -rw-r--r-- 1 root root 31K Mar 17 2016 liborc-test-0.4.so.0.25.0 lrwxrwxrwx 1 root root 19 Aug 26 2016 libp11-kit.so.0 -> libp11-kit.so.0.1.0 -rw-r--r-- 1 root root 399K Aug 26 2016 libp11-kit.so.0.1.0 lrwxrwxrwx 1 root root 15 Feb 19 2016 libpanel.so.5 -> libpanel.so.5.9 -rw-r--r-- 1 root root 15K Feb 19 2016 libpanel.so.5.9 lrwxrwxrwx 1 root root 16 Feb 19 2016 libpanelw.so.5 -> libpanelw.so.5.9 -rw-r--r-- 1 root root 15K Feb 19 2016 libpanelw.so.5.9 -rw-r--r-- 1 root root 492K Oct 23 2015 libpango-1.0.a lrwxrwxrwx 1 root root 24 Oct 23 2015 libpango-1.0.so -> libpango-1.0.so.0.3800.1 lrwxrwxrwx 1 root root 24 Oct 23 2015 libpango-1.0.so.0 -> libpango-1.0.so.0.3800.1 -rw-r--r-- 1 root root 304K Oct 23 2015 libpango-1.0.so.0.3800.1 -rw-r--r-- 1 root root 78K Oct 23 2015 libpangocairo-1.0.a lrwxrwxrwx 1 root root 29 Oct 23 2015 libpangocairo-1.0.so -> libpangocairo-1.0.so.0.3800.1 lrwxrwxrwx 1 root root 29 Oct 23 2015 libpangocairo-1.0.so.0 -> libpangocairo-1.0.so.0.3800.1 -rw-r--r-- 1 root root 52K Oct 23 2015 libpangocairo-1.0.so.0.3800.1 -rw-r--r-- 1 root root 137K Oct 23 2015 libpangoft2-1.0.a lrwxrwxrwx 1 root root 27 Oct 23 2015 libpangoft2-1.0.so -> libpangoft2-1.0.so.0.3800.1 lrwxrwxrwx 1 root root 27 Oct 23 2015 libpangoft2-1.0.so.0 -> libpangoft2-1.0.so.0.3800.1 -rw-r--r-- 1 root root 88K Oct 23 2015 libpangoft2-1.0.so.0.3800.1 lrwxrwxrwx 1 root root 22 Oct 31 2014 libpangox-1.0.so.0 -> libpangox-1.0.so.0.0.0 -rw-r--r-- 1 root root 129K Oct 31 2014 libpangox-1.0.so.0.0.0 -rw-r--r-- 1 root root 44K Oct 23 2015 libpangoxft-1.0.a lrwxrwxrwx 1 root root 27 Oct 23 2015 libpangoxft-1.0.so -> libpangoxft-1.0.so.0.3800.1 lrwxrwxrwx 1 root root 27 Oct 23 2015 libpangoxft-1.0.so.0 -> libpangoxft-1.0.so.0.3800.1 -rw-r--r-- 1 root root 35K Oct 23 2015 libpangoxft-1.0.so.0.3800.1 lrwxrwxrwx 1 root root 22 Aug 3 2015 libpciaccess.so.0 -> libpciaccess.so.0.11.1 -rw-r--r-- 1 root root 39K Aug 3 2015 libpciaccess.so.0.11.1 -rw-r--r-- 1 root root 602K Mar 25 2016 libpcre.a lrwxrwxrwx 1 root root 34 Mar 25 2016 libpcre.so -> /lib/x86_64-linux-gnu/libpcre.so.3 -rw-r--r-- 1 root root 565K Mar 25 2016 libpcre16.a lrwxrwxrwx 1 root root 19 Mar 25 2016 libpcre16.so -> libpcre16.so.3.13.2 lrwxrwxrwx 1 root root 19 Mar 25 2016 libpcre16.so.3 -> libpcre16.so.3.13.2 -rw-r--r-- 1 root root 406K Mar 25 2016 libpcre16.so.3.13.2 -rw-r--r-- 1 root root 550K Mar 25 2016 libpcre32.a lrwxrwxrwx 1 root root 19 Mar 25 2016 libpcre32.so -> libpcre32.so.3.13.2 lrwxrwxrwx 1 root root 19 Mar 25 2016 libpcre32.so.3 -> libpcre32.so.3.13.2 -rw-r--r-- 1 root root 390K Mar 25 2016 libpcre32.so.3.13.2 -rw-r--r-- 1 root root 51K Mar 25 2016 libpcrecpp.a lrwxrwxrwx 1 root root 19 Mar 25 2016 libpcrecpp.so -> libpcrecpp.so.0.0.1 lrwxrwxrwx 1 root root 19 Mar 25 2016 libpcrecpp.so.0 -> libpcrecpp.so.0.0.1 -rw-r--r-- 1 root root 34K Mar 25 2016 libpcrecpp.so.0.0.1 -rw-r--r-- 1 root root 6.6K Mar 25 2016 libpcreposix.a lrwxrwxrwx 1 root root 22 Mar 25 2016 libpcreposix.so -> libpcreposix.so.3.13.2 lrwxrwxrwx 1 root root 22 Mar 25 2016 libpcreposix.so.3 -> libpcreposix.so.3.13.2 -rw-r--r-- 1 root root 9.9K Mar 25 2016 libpcreposix.so.3.13.2 lrwxrwxrwx 1 root root 17 Nov 19 2018 libperl.so.5.22 -> libperl.so.5.22.1 -rw-r--r-- 1 root root 1.9M Nov 19 2018 libperl.so.5.22.1 -rw-r--r-- 1 root root 882K Jan 14 2016 libpixman-1.a lrwxrwxrwx 1 root root 21 Jan 14 2016 libpixman-1.so -> libpixman-1.so.0.33.6 lrwxrwxrwx 1 root root 21 Jan 14 2016 libpixman-1.so.0 -> libpixman-1.so.0.33.6 -rw-r--r-- 1 root root 671K Jan 14 2016 libpixman-1.so.0.33.6 lrwxrwxrwx 1 root root 10 Jul 10 2018 libpng.a -> libpng12.a lrwxrwxrwx 1 root root 11 Jul 10 2018 libpng.so -> libpng12.so -rw-r--r-- 1 root root 239K Jul 10 2018 libpng12.a lrwxrwxrwx 1 root root 13 Jul 10 2018 libpng12.so -> libpng12.so.0 lrwxrwxrwx 1 root root 35 Jul 10 2018 libpng12.so.0 -> /lib/x86_64-linux-gnu/libpng12.so.0 -rw-r--r-- 1 root root 2.4M Feb 5 2019 libpthread.a -rw-r--r-- 1 root root 252 Feb 5 2019 libpthread.so -rw-r--r-- 1 root root 7.6K Feb 5 2019 libpthread_nonshared.a lrwxrwxrwx 1 root root 20 Oct 4 2019 libquadmath.so.0 -> libquadmath.so.0.0.0 -rw-r--r-- 1 root root 252K Oct 4 2019 libquadmath.so.0.0.0 -rw-r--r-- 1 root root 91K Dec 8 2015 libraw1394.a -rw-r--r-- 1 root root 971 Dec 8 2015 libraw1394.la lrwxrwxrwx 1 root root 20 Dec 8 2015 libraw1394.so -> libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 20 Dec 8 2015 libraw1394.so.11 -> libraw1394.so.11.1.0 -rw-r--r-- 1 root root 59K Dec 8 2015 libraw1394.so.11.1.0 -rw-r--r-- 1 root root 156K Feb 5 2019 libresolv.a lrwxrwxrwx 1 root root 36 Feb 5 2019 libresolv.so -> /lib/x86_64-linux-gnu/libresolv.so.2 lrwxrwxrwx 1 root root 18 Jul 14 2017 libroken.so.18 -> libroken.so.18.1.0 -rw-r--r-- 1 root root 88K Jul 14 2017 libroken.so.18.1.0 -rw-r--r-- 1 root root 53K Feb 5 2019 librpcsvc.a -rw-r--r-- 1 root root 75K Feb 5 2019 librt.a lrwxrwxrwx 1 root root 32 Feb 5 2019 librt.so -> /lib/x86_64-linux-gnu/librt.so.1 -rw-r--r-- 1 root root 111K May 5 2017 librtmp.so.1 lrwxrwxrwx 1 root root 18 Oct 29 2018 libsasl2.so.2 -> libsasl2.so.2.0.25 -rw-r--r-- 1 root root 107K Oct 29 2018 libsasl2.so.2.0.25 lrwxrwxrwx 1 root root 29 Dec 16 2014 libschroedinger-1.0.so.0 -> libschroedinger-1.0.so.0.11.0 -rw-r--r-- 1 root root 850K Dec 16 2014 libschroedinger-1.0.so.0.11.0 -rw-r--r-- 1 root root 211K Apr 20 2016 libsemanage.so.1 lrwxrwxrwx 1 root root 19 Oct 2 2015 libsensors.so.4 -> libsensors.so.4.4.0 -rw-r--r-- 1 root root 59K Oct 2 2015 libsensors.so.4.4.0 lrwxrwxrwx 1 root root 17 Jan 30 2016 libshine.so.3 -> libshine.so.3.0.1 -rw-r--r-- 1 root root 51K Jan 30 2016 libshine.so.3.0.1 lrwxrwxrwx 1 root root 18 Oct 6 2015 libsnappy.so.1 -> libsnappy.so.1.3.0 -rw-r--r-- 1 root root 31K Oct 6 2015 libsnappy.so.1.3.0 lrwxrwxrwx 1 root root 16 Oct 24 2015 libsoxr.so.0 -> libsoxr.so.0.1.1 -rw-r--r-- 1 root root 192K Oct 24 2015 libsoxr.so.0.1.1 lrwxrwxrwx 1 root root 17 Sep 1 2015 libspeex.so.1 -> libspeex.so.1.5.0 -rw-r--r-- 1 root root 98K Sep 1 2015 libspeex.so.1.5.0 lrwxrwxrwx 1 root root 19 Jun 18 2019 libsqlite3.so.0 -> libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 850K Jun 18 2019 libsqlite3.so.0.8.6 lrwxrwxrwx 1 root root 22 Dec 10 2019 libssh-gcrypt.so.4 -> libssh-gcrypt.so.4.4.1 -rw-r--r-- 1 root root 298K Dec 10 2019 libssh-gcrypt.so.4.4.1 lrwxrwxrwx 1 root root 30 Dec 10 2019 libssh-gcrypt_threads.so.4 -> libssh-gcrypt_threads.so.4.4.1 -rw-r--r-- 1 root root 6.2K Dec 10 2019 libssh-gcrypt_threads.so.4.4.1 lrwxrwxrwx 1 root root 19 Oct 4 2019 libstdc++.so.6 -> libstdc++.so.6.0.21 -rw-r--r-- 1 root root 1.5M Oct 4 2019 libstdc++.so.6.0.21 -rw-r--r-- 1 root root 208K Aug 23 2018 libswresample-ffmpeg.a lrwxrwxrwx 1 root root 31 Aug 23 2018 libswresample-ffmpeg.so -> libswresample-ffmpeg.so.1.2.101 lrwxrwxrwx 1 root root 31 Aug 23 2018 libswresample-ffmpeg.so.1 -> libswresample-ffmpeg.so.1.2.101 -rw-r--r-- 1 root root 114K Aug 23 2018 libswresample-ffmpeg.so.1.2.101 lrwxrwxrwx 1 root root 22 Aug 23 2018 libswresample.a -> libswresample-ffmpeg.a lrwxrwxrwx 1 root root 23 Aug 23 2018 libswresample.so -> libswresample-ffmpeg.so -rw-r--r-- 1 root root 780K Aug 23 2018 libswscale-ffmpeg.a lrwxrwxrwx 1 root root 28 Aug 23 2018 libswscale-ffmpeg.so -> libswscale-ffmpeg.so.3.1.101 lrwxrwxrwx 1 root root 28 Aug 23 2018 libswscale-ffmpeg.so.3 -> libswscale-ffmpeg.so.3.1.101 -rw-r--r-- 1 root root 538K Aug 23 2018 libswscale-ffmpeg.so.3.1.101 lrwxrwxrwx 1 root root 19 Aug 23 2018 libswscale.a -> libswscale-ffmpeg.a lrwxrwxrwx 1 root root 20 Aug 23 2018 libswscale.so -> libswscale-ffmpeg.so lrwxrwxrwx 1 root root 17 Jan 25 2018 libtasn1.so.6 -> libtasn1.so.6.5.1 -rw-r--r-- 1 root root 75K Jan 25 2018 libtasn1.so.6.5.1 -rw-r--r-- 1 root root 234K Jan 28 2016 libtbb.so.2 -rw-r--r-- 1 root root 110K Jan 28 2016 libtbbmalloc.so.2 -rw-r--r-- 1 root root 15K Jan 28 2016 libtbbmalloc_proxy.so.2 lrwxrwxrwx 1 root root 16 Feb 2 2016 libthai.so.0 -> libthai.so.0.2.4 -rw-r--r-- 1 root root 37K Feb 2 2016 libthai.so.0.2.4 lrwxrwxrwx 1 root root 19 Feb 7 2016 libtheora.so.0 -> libtheora.so.0.3.10 -rw-r--r-- 1 root root 315K Feb 7 2016 libtheora.so.0.3.10 lrwxrwxrwx 1 root root 21 Feb 7 2016 libtheoradec.so.1 -> libtheoradec.so.1.1.4 -rw-r--r-- 1 root root 103K Feb 7 2016 libtheoradec.so.1.1.4 lrwxrwxrwx 1 root root 21 Feb 7 2016 libtheoraenc.so.1 -> libtheoraenc.so.1.1.2 -rw-r--r-- 1 root root 251K Feb 7 2016 libtheoraenc.so.1.1.2 lrwxrwxrwx 1 root root 39 Feb 5 2019 libthread_db.so -> /lib/x86_64-linux-gnu/libthread_db.so.1 lrwxrwxrwx 1 root root 13 Feb 19 2016 libtic.so.5 -> libtic.so.5.9 -rw-r--r-- 1 root root 59K Feb 19 2016 libtic.so.5.9 -rw-r--r-- 1 root root 741K Oct 16 2019 libtiff.a lrwxrwxrwx 1 root root 16 Oct 16 2019 libtiff.so -> libtiff.so.5.2.4 lrwxrwxrwx 1 root root 16 Oct 16 2019 libtiff.so.5 -> libtiff.so.5.2.4 -rw-r--r-- 1 root root 469K Oct 16 2019 libtiff.so.5.2.4 -rw-r--r-- 1 root root 8.6K Oct 16 2019 libtiffxx.a lrwxrwxrwx 1 root root 18 Oct 16 2019 libtiffxx.so -> libtiffxx.so.5.2.4 lrwxrwxrwx 1 root root 18 Oct 16 2019 libtiffxx.so.5 -> libtiffxx.so.5.2.4 -rw-r--r-- 1 root root 10K Oct 16 2019 libtiffxx.so.5.2.4 lrwxrwxrwx 1 root root 16 Oct 4 2019 libtsan.so.0 -> libtsan.so.0.0.0 -rw-r--r-- 1 root root 791K Oct 4 2019 libtsan.so.0.0.0 -rw-r--r-- 1 root root 596K Nov 13 2019 libturbojpeg.a lrwxrwxrwx 1 root root 19 Jul 26 2015 libtwolame.so.0 -> libtwolame.so.0.0.0 -rw-r--r-- 1 root root 123K Jul 26 2015 libtwolame.so.0.0.0 lrwxrwxrwx 1 root root 17 Oct 4 2019 libubsan.so.0 -> libubsan.so.0.0.0 -rw-r--r-- 1 root root 241K Oct 4 2019 libubsan.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 17 2015 libustr-1.0.so.1 -> libustr-1.0.so.1.0.4 -rw-r--r-- 1 root root 215K Jun 17 2015 libustr-1.0.so.1.0.4 -rw-r--r-- 1 root root 14K Feb 5 2019 libutil.a lrwxrwxrwx 1 root root 34 Feb 5 2019 libutil.so -> /lib/x86_64-linux-gnu/libutil.so.1 drwxr-xr-x 3 root root 4.0K Mar 26 2020 libv4l lrwxrwxrwx 1 root root 16 Jan 24 2016 libv4l1.so.0 -> libv4l1.so.0.0.0 -rw-r--r-- 1 root root 24K Jan 24 2016 libv4l1.so.0.0.0 lrwxrwxrwx 1 root root 16 Jan 24 2016 libv4l2.so.0 -> libv4l2.so.0.0.0 -rw-r--r-- 1 root root 55K Jan 24 2016 libv4l2.so.0.0.0 lrwxrwxrwx 1 root root 22 Jan 24 2016 libv4lconvert.so.0 -> libv4lconvert.so.0.0.0 -rw-r--r-- 1 root root 159K Jan 24 2016 libv4lconvert.so.0.0.0 drwxr-xr-x 2 root root 4.0K Mar 26 2020 libv4lconvert0 lrwxrwxrwx 1 root root 17 Aug 31 2017 libva.so.1 -> libva.so.1.3900.0 -rw-r--r-- 1 root root 111K Aug 31 2017 libva.so.1.3900.0 lrwxrwxrwx 1 root root 18 Mar 21 2018 libvorbis.so.0 -> libvorbis.so.0.4.8 -rw-r--r-- 1 root root 171K Mar 21 2018 libvorbis.so.0.4.8 lrwxrwxrwx 1 root root 22 Mar 21 2018 libvorbisenc.so.2 -> libvorbisenc.so.2.0.11 -rw-r--r-- 1 root root 675K Mar 21 2018 libvorbisenc.so.2.0.11 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.3 -> libvpx.so.3.0.0 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.3.0 -> libvpx.so.3.0.0 -rw-r--r-- 1 root root 2.2M Nov 19 2019 libvpx.so.3.0.0 lrwxrwxrwx 1 root root 19 Dec 5 2018 libwavpack.so.1 -> libwavpack.so.1.1.7 -rw-r--r-- 1 root root 163K Dec 5 2018 libwavpack.so.1.1.7 lrwxrwxrwx 1 root root 16 Nov 17 2015 libwebp.so.5 -> libwebp.so.5.0.4 -rw-r--r-- 1 root root 367K Nov 17 2015 libwebp.so.5.0.4 lrwxrwxrwx 1 root root 16 Jul 14 2017 libwind.so.0 -> libwind.so.0.0.0 -rw-r--r-- 1 root root 163K Jul 14 2017 libwind.so.0.0.0 -rw-r--r-- 1 root root 1.2M Jan 18 2016 libx264.so.148 -rw-r--r-- 1 root root 11M Feb 11 2016 libx265.so.79 lrwxrwxrwx 1 root root 20 Nov 9 2015 libxcb-dri2.so.0 -> libxcb-dri2.so.0.0.0 -rw-r--r-- 1 root root 19K Nov 9 2015 libxcb-dri2.so.0.0.0 lrwxrwxrwx 1 root root 20 Nov 9 2015 libxcb-dri3.so.0 -> libxcb-dri3.so.0.0.0 -rw-r--r-- 1 root root 11K Nov 9 2015 libxcb-dri3.so.0.0.0 lrwxrwxrwx 1 root root 19 Nov 9 2015 libxcb-glx.so.0 -> libxcb-glx.so.0.0.0 -rw-r--r-- 1 root root 99K Nov 9 2015 libxcb-glx.so.0.0.0 lrwxrwxrwx 1 root root 23 Nov 9 2015 libxcb-present.so.0 -> libxcb-present.so.0.0.0 -rw-r--r-- 1 root root 11K Nov 9 2015 libxcb-present.so.0.0.0 -rw-r--r-- 1 root root 47K Nov 9 2015 libxcb-render.a lrwxrwxrwx 1 root root 22 Nov 9 2015 libxcb-render.so -> libxcb-render.so.0.0.0 lrwxrwxrwx 1 root root 22 Nov 9 2015 libxcb-render.so.0 -> libxcb-render.so.0.0.0 -rw-r--r-- 1 root root 39K Nov 9 2015 libxcb-render.so.0.0.0 -rw-r--r-- 1 root root 9.8K Nov 9 2015 libxcb-shm.a lrwxrwxrwx 1 root root 19 Nov 9 2015 libxcb-shm.so -> libxcb-shm.so.0.0.0 lrwxrwxrwx 1 root root 19 Nov 9 2015 libxcb-shm.so.0 -> libxcb-shm.so.0.0.0 -rw-r--r-- 1 root root 15K Nov 9 2015 libxcb-shm.so.0.0.0 lrwxrwxrwx 1 root root 20 Nov 9 2015 libxcb-sync.so.1 -> libxcb-sync.so.1.0.0 -rw-r--r-- 1 root root 27K Nov 9 2015 libxcb-sync.so.1.0.0 -rw-r--r-- 1 root root 202K Nov 9 2015 libxcb.a lrwxrwxrwx 1 root root 15 Nov 9 2015 libxcb.so -> libxcb.so.1.1.0 lrwxrwxrwx 1 root root 15 Nov 9 2015 libxcb.so.1 -> libxcb.so.1.1.0 -rw-r--r-- 1 root root 135K Nov 9 2015 libxcb.so.1.1.0 -rw-r--r-- 1 root root 2.9M Feb 5 2020 libxml2.a lrwxrwxrwx 1 root root 16 Feb 5 2020 libxml2.so -> libxml2.so.2.9.3 lrwxrwxrwx 1 root root 16 Feb 5 2020 libxml2.so.2 -> libxml2.so.2.9.3 -rw-r--r-- 1 root root 1.8M Feb 5 2020 libxml2.so.2.9.3 lrwxrwxrwx 1 root root 21 May 6 2015 libxshmfence.so.1 -> libxshmfence.so.1.0.0 -rw-r--r-- 1 root root 11K May 6 2015 libxshmfence.so.1.0.0 lrwxrwxrwx 1 root root 18 Jun 29 2015 libxvidcore.so.4 -> libxvidcore.so.4.3 -rw-r--r-- 1 root root 684K Jun 29 2015 libxvidcore.so.4.3 -rw-r--r-- 1 root root 140K Jan 21 2020 libz.a lrwxrwxrwx 1 root root 35 Jan 21 2020 libz.so -> /lib/x86_64-linux-gnu/libz.so.1.2.8 lrwxrwxrwx 1 root root 23 Nov 29 2015 libzvbi-chains.so.0 -> libzvbi-chains.so.0.0.0 -rw-r--r-- 1 root root 58K Nov 29 2015 libzvbi-chains.so.0.0.0 lrwxrwxrwx 1 root root 17 Nov 29 2015 libzvbi.so.0 -> libzvbi.so.0.13.2 -rw-r--r-- 1 root root 556K Nov 29 2015 libzvbi.so.0.13.2 drwxr-xr-x 2 root root 4.0K Mar 26 2020 mesa drwxr-xr-x 3 root root 4.0K Nov 27 2019 openssl-1.0.0 drwxr-xr-x 1 root root 4.0K Dec 5 2019 perl drwxr-xr-x 16 root root 4.0K Nov 8 2019 perl-base drwxr-xr-x 2 root root 4.0K Mar 26 2020 pkgconfig drwxr-xr-x 2 root root 4.0K Nov 27 2019 sasl2 drwxr-xr-x 2 root root 4.0K Dec 5 2019 stubs drwxr-xr-x 2 root root 4.0K Mar 26 2020 x264-10bit -rw-r--r-- 1 root root 204 Feb 5 2020 xml2Conf.sh drwxr-xr-x 3 root root 4.0K Mar 26 2020 xorg [Pipeline] echo Packing build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-36m-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 ec7c197d42d59c4ba9341ac30649257b208ef4743c7efd1dd0f68f3e6fa521d3 $ docker rm -f ec7c197d42d59c4ba9341ac30649257b208ef4743c7efd1dd0f68f3e6fa521d3 [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: MXNet CPU) [Pipeline] { (Branch: MXNet GPU) [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] { (MXNet CPU) [Pipeline] stage [Pipeline] { (MXNet GPU) [Pipeline] node Running on dglci-windows in C:\Jenkins\workspace\dgl_PR-4085 [Pipeline] node Running on dglci-windows in C:\Jenkins\workspace\dgl_PR-4085@2 [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4085 [Pipeline] node Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4085 [Pipeline] node [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4085@2 [Pipeline] node [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4085@3 [Pipeline] node [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4085@4 [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] checkout The recommended git tool is: git [Pipeline] checkout using credential github The recommended git tool is: git Cloning the remote Git repository Cloning with configured refspecs honoured and without tags [Pipeline] checkout The recommended git tool is: git using credential github [Pipeline] checkout Cloning the remote Git repository Cloning with configured refspecs honoured and without tags The recommended git tool is: git using credential github using credential github Cloning the remote Git repository Cloning with configured refspecs honoured and without tags [Pipeline] checkout The recommended git tool is: git Cloning the remote Git repository Cloning with configured refspecs honoured and without tags using credential github [Pipeline] checkout Cloning the remote Git repository Cloning with configured refspecs honoured and without tags The recommended git tool is: git using credential github [Pipeline] checkout Cloning the remote Git repository Cloning with configured refspecs honoured and without tags The recommended git tool is: git using credential github Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4085 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init C:\Jenkins\workspace\dgl_PR-4085@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 GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init C:\Jenkins\workspace\dgl_PR-4085 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4085 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4085@2 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4085@3 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4085@4 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Cleaning workspace Fetching without tags Cleaning workspace Fetching without tags Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Merge succeeded, producing cee2155c2f407537be5c0cb6a1f4c9b98d23e257 Checking out Revision cee2155c2f407537be5c0cb6a1f4c9b98d23e257 (PR-4085) Cleaning workspace Merge succeeded, producing cee2155c2f407537be5c0cb6a1f4c9b98d23e257 Checking out Revision cee2155c2f407537be5c0cb6a1f4c9b98d23e257 (PR-4085) Fetching without tags > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4085/head:refs/remotes/origin/PR-4085 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +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/4085/head:refs/remotes/origin/PR-4085 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4085/head:refs/remotes/origin/PR-4085 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cee2155c2f407537be5c0cb6a1f4c9b98d23e257 # timeout=10 Cleaning workspace > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4085/head:refs/remotes/origin/PR-4085 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cee2155c2f407537be5c0cb6a1f4c9b98d23e257 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4085 cee2155c2f407537be5c0cb6a1f4c9b98d23e257 # timeout=10 Fetching without tags Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" Cleaning workspace Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Merge succeeded, producing cee2155c2f407537be5c0cb6a1f4c9b98d23e257 Checking out Revision cee2155c2f407537be5c0cb6a1f4c9b98d23e257 (PR-4085) Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" Cleaning workspace Merge succeeded, producing cee2155c2f407537be5c0cb6a1f4c9b98d23e257 Checking out Revision cee2155c2f407537be5c0cb6a1f4c9b98d23e257 (PR-4085) Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" Cleaning workspace Cleaning workspace Fetching without tags [Pipeline] withEnv [Pipeline] { [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e [Pipeline] sh [Pipeline] withEnv [Pipeline] { > git config --add remote.origin.fetch +refs/pull/4085/head:refs/remotes/origin/PR-4085 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cee2155c2f407537be5c0cb6a1f4c9b98d23e257 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4085 cee2155c2f407537be5c0cb6a1f4c9b98d23e257 # 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 HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cee2155c2f407537be5c0cb6a1f4c9b98d23e257 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4085 cee2155c2f407537be5c0cb6a1f4c9b98d23e257 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4085 cee2155c2f407537be5c0cb6a1f4c9b98d23e257 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] isUnix > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4085/head:refs/remotes/origin/PR-4085 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 [Pipeline] withEnv [Pipeline] { + docker pull dgllib/dgl-ci-cpu:cu101_v220217 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # 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] isUnix + docker pull dgllib/dgl-ci-cpu:cu101_v220217 [Pipeline] withEnv [Pipeline] { Merge succeeded, producing 88d6441f3ef176ddee44e712b66fc5474e460bd6 Checking out Revision 88d6441f3ef176ddee44e712b66fc5474e460bd6 (PR-4085) [Pipeline] sh Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace + docker pull dgllib/dgl-ci-gpu:cu101_v220217 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 88d6441f3ef176ddee44e712b66fc5474e460bd6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4085 88d6441f3ef176ddee44e712b66fc5474e460bd6 # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 Merge succeeded, producing 6062e6baeb477e4aba72a67d1d750b99e72d1fbd Checking out Revision 6062e6baeb477e4aba72a67d1d750b99e72d1fbd (PR-4085) + docker pull dgllib/dgl-ci-cpu:cu101_v220217 Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh cu101_v220217: Pulling from dgllib/dgl-ci-cpu Digest: sha256:da272849e6986ec8d16e97890d47071605ad3029f661ac0116e390d2e78e082a Status: Image is up to date for dgllib/dgl-ci-cpu:cu101_v220217 docker.io/dgllib/dgl-ci-cpu:cu101_v220217 [Pipeline] } cu101_v220217: Pulling from dgllib/dgl-ci-cpu Digest: sha256:da272849e6986ec8d16e97890d47071605ad3029f661ac0116e390d2e78e082a Status: Image is up to date for dgllib/dgl-ci-cpu:cu101_v220217 docker.io/dgllib/dgl-ci-cpu:cu101_v220217 [Pipeline] // withEnv [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 6062e6baeb477e4aba72a67d1d750b99e72d1fbd # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4085 6062e6baeb477e4aba72a67d1d750b99e72d1fbd # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # 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 + docker pull dgllib/dgl-ci-cpu:cu101_v220217 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { cu101_v220217: Pulling from dgllib/dgl-ci-gpu Digest: sha256:54de7da1aded4109de9852e90105193ec0ea4b59d84d8c4e928e0cb43c0521ee Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220217 docker.io/dgllib/dgl-ci-gpu:cu101_v220217 [Pipeline] stage [Pipeline] { (Torch CPU (Win64) Unit test) [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { cu101_v220217: Pulling from dgllib/dgl-ci-cpu Digest: sha256:da272849e6986ec8d16e97890d47071605ad3029f661ac0116e390d2e78e082a Status: Image is up to date for dgllib/dgl-ci-cpu:cu101_v220217 docker.io/dgllib/dgl-ci-cpu:cu101_v220217 [Pipeline] sh [Pipeline] } [Pipeline] checkout The recommended git tool is: git + docker inspect -f . dgllib/dgl-ci-cpu:cu101_v220217 . using credential github + docker inspect -f . dgllib/dgl-ci-cpu:cu101_v220217 . Fetching changes from the remote Git repository Cleaning workspace [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] } [Pipeline] } [Pipeline] sh Fetching without tags [Pipeline] // withEnv [Pipeline] // withEnv + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220217 . [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-4085@2 -v /root/jenkins/workspace/dgl_PR-4085@2:/root/jenkins/workspace/dgl_PR-4085@2:rw,z -v /root/jenkins/workspace/dgl_PR-4085@2@tmp:/root/jenkins/workspace/dgl_PR-4085@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:cu101_v220217 cat Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e + docker inspect -f . dgllib/dgl-ci-cpu:cu101_v220217 . $ docker top 4ccdb273468a999c74797d899228bf64b7461e3557fb63906e38d386606332f3 -eo pid,comm Merge succeeded, producing a9b949e3d980acfa997cd290cb16bc0d604ddc5b Checking out Revision a9b949e3d980acfa997cd290cb16bc0d604ddc5b (PR-4085) [Pipeline] { [Pipeline] withDockerContainer cu101_v220217: Pulling from dgllib/dgl-ci-cpu Digest: sha256:da272849e6986ec8d16e97890d47071605ad3029f661ac0116e390d2e78e082a Status: Image is up to date for dgllib/dgl-ci-cpu:cu101_v220217 docker.io/dgllib/dgl-ci-cpu:cu101_v220217 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-4085@4 -v /root/jenkins/workspace/dgl_PR-4085@4:/root/jenkins/workspace/dgl_PR-4085@4:rw,z -v /root/jenkins/workspace/dgl_PR-4085@4@tmp:/root/jenkins/workspace/dgl_PR-4085@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_v220217 cat Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4085@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 GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a9b949e3d980acfa997cd290cb16bc0d604ddc5b # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 a9b949e3d980acfa997cd290cb16bc0d604ddc5b # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 $ docker top 3952b8f066eb6882fbe5cc4dfd634f5b46d2b97a468da1c83b80e59072f51ec5 -eo pid,comm [Pipeline] { [Pipeline] } [Pipeline] } [Pipeline] } [Pipeline] // withEnv [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-4085 -v /root/jenkins/workspace/dgl_PR-4085:/root/jenkins/workspace/dgl_PR-4085:rw,z -v /root/jenkins/workspace/dgl_PR-4085@tmp:/root/jenkins/workspace/dgl_PR-4085@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_v220217 cat Cleaning workspace Fetching without tags Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e $ docker top 1a0c25bbdb659a12437baabdc5e4df88129b5d44ba5da62d9e41a0e6d061f7b4 -eo pid,comm [Pipeline] { [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4085 -v /root/jenkins/workspace/dgl_PR-4085:/root/jenkins/workspace/dgl_PR-4085:rw,z -v /root/jenkins/workspace/dgl_PR-4085@tmp:/root/jenkins/workspace/dgl_PR-4085@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_v220217 cat $ docker top 831e36f1a09990b35e6de54b25a688da5b93c4a52af2569b5bd1f57196e8801b -eo pid,comm > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4085/head:refs/remotes/origin/PR-4085 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 [Pipeline] { [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] bat [Pipeline] sh [Pipeline] stage [Pipeline] { (Tensorflow CPU Unit test) [Pipeline] stage [Pipeline] { (MXNet CPU Unit test) [Pipeline] sh [Pipeline] sh [Pipeline] sh [Pipeline] sh administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4085@2>git submodule update --recursive --init + docker inspect -f . dgllib/dgl-ci-cpu:cu101_v220217 . [Pipeline] } [Pipeline] // withEnv + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include mycustomgnn python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include mycustomgnn python readthedocs.yml src tensoradapter tests third_party tools tutorials $ docker run -t -d -u 0:0 --shm-size=4gb -w /root/jenkins/workspace/dgl_PR-4085@3 -v /root/jenkins/workspace/dgl_PR-4085@3:/root/jenkins/workspace/dgl_PR-4085@3:rw,z -v /root/jenkins/workspace/dgl_PR-4085@3@tmp:/root/jenkins/workspace/dgl_PR-4085@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:cu101_v220217 cat Merge succeeded, producing 88d6441f3ef176ddee44e712b66fc5474e460bd6 Checking out Revision 88d6441f3ef176ddee44e712b66fc5474e460bd6 (PR-4085) + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include mycustomgnn python readthedocs.yml src tensoradapter tests third_party tools tutorials + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include mycustomgnn python readthedocs.yml src tensoradapter tests third_party tools tutorials Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/METIS'... Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" Cleaning workspace $ docker top 3eceb463567f9287f848b7c6a2e24cd6663927e013a62a9e4f993cb84011b7a0 -eo pid,comm [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@3f1087e3; decorates RemoteLauncher[hudson.remoting.Channel@34edbd18:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) [Pipeline] checkout Fetching changes from the remote Git repository Cleaning workspace The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@4bce02d3; decorates RemoteLauncher[hudson.remoting.Channel@ef93cf4:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) [Pipeline] checkout Fetching changes from the remote Git repository The recommended git tool is: git Cleaning workspace using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@7943ef26; decorates RemoteLauncher[hudson.remoting.Channel@ef93cf4:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) [Pipeline] checkout Fetching changes from the remote Git repository The recommended git tool is: git Cleaning workspace using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@4c43601a; decorates RemoteLauncher[hudson.remoting.Channel@ef93cf4: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] stage [Pipeline] { (Torch CPU Unit test) [Pipeline] sh Fetching without tags [Pipeline] withEnv [Pipeline] { Fetching without tags Fetching without tags Fetching without tags [Pipeline] checkout The recommended git tool is: git using credential github Fetching changes from the remote Git repository Cleaning workspace using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 88d6441f3ef176ddee44e712b66fc5474e460bd6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4085 88d6441f3ef176ddee44e712b66fc5474e460bd6 # 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 + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include mycustomgnn python readthedocs.yml src tensoradapter tests third_party tools tutorials Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e [Pipeline] checkout Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e The recommended git tool is: git Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@4d3cecdb; decorates RemoteLauncher[hudson.remoting.Channel@ef93cf4: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 Merge succeeded, producing 413678ce820e7d7da5f1d55e3625130d4e99896c Checking out Revision 413678ce820e7d7da5f1d55e3625130d4e99896c (PR-4085) Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Merge succeeded, producing 413678ce820e7d7da5f1d55e3625130d4e99896c Checking out Revision 413678ce820e7d7da5f1d55e3625130d4e99896c (PR-4085) Merge succeeded, producing 413678ce820e7d7da5f1d55e3625130d4e99896c Checking out Revision 413678ce820e7d7da5f1d55e3625130d4e99896c (PR-4085) Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Merge succeeded, producing 413678ce820e7d7da5f1d55e3625130d4e99896c Checking out Revision 413678ce820e7d7da5f1d55e3625130d4e99896c (PR-4085) Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" Cleaning workspace First time build. Skipping changelog. Cleaning workspace Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" Cleaning workspace Merge succeeded, producing a85e748bfeafae7a9686a5288f9fa936eb8a74d7 Checking out Revision a85e748bfeafae7a9686a5288f9fa936eb8a74d7 (PR-4085) Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" Cleaning workspace Merge succeeded, producing 3b42be5f9a5c3dccb8523567488891647a749927 Checking out Revision 3b42be5f9a5c3dccb8523567488891647a749927 (PR-4085) > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4085/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 413678ce820e7d7da5f1d55e3625130d4e99896c # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 413678ce820e7d7da5f1d55e3625130d4e99896c # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4085/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 413678ce820e7d7da5f1d55e3625130d4e99896c # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 413678ce820e7d7da5f1d55e3625130d4e99896c # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4085@2/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 413678ce820e7d7da5f1d55e3625130d4e99896c # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 413678ce820e7d7da5f1d55e3625130d4e99896c # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4085@4/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 413678ce820e7d7da5f1d55e3625130d4e99896c # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 413678ce820e7d7da5f1d55e3625130d4e99896c # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4085\.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 3b42be5f9a5c3dccb8523567488891647a749927 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 3b42be5f9a5c3dccb8523567488891647a749927 # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 [Pipeline] sh > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4085@3/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a85e748bfeafae7a9686a5288f9fa936eb8a74d7 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 a85e748bfeafae7a9686a5288f9fa936eb8a74d7 # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh [Pipeline] sh [Pipeline] sh [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'third_party/METIS'... + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'third_party/METIS'... + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'third_party/METIS'... + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'third_party/METIS'... [Pipeline] bat + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4085>git submodule update --recursive --init 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 'third_party/METIS'... > git clean -fdx # timeout=10 Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/METIS'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'GKlib' Cloning into 'GKlib'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'GKlib' Cloning into 'GKlib'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'GKlib' Cloning into 'GKlib'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'GKlib' Cloning into 'GKlib'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'GKlib' Cloning into 'GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Cloning into 'third_party/cub'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Cloning into 'third_party/cub'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Cloning into 'third_party/cub'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Cloning into 'third_party/cub'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Cloning into 'third_party/cub'... Submodule path 'third_party/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/dlpack'... Submodule path 'third_party/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/dlpack'... Submodule path 'third_party/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/dlpack'... Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Cloning into 'third_party/dmlc-core'... Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Cloning into 'third_party/dmlc-core'... Submodule path 'third_party/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/dlpack'... Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Cloning into 'third_party/dmlc-core'... Submodule path 'third_party/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/dlpack'... Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Cloning into 'third_party/googletest'... Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Cloning into 'third_party/dmlc-core'... Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Cloning into 'third_party/googletest'... Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Cloning into 'third_party/googletest'... Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Cloning into 'third_party/dmlc-core'... Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Cloning into 'third_party/googletest'... Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Cloning into 'third_party/googletest'... Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Cloning into 'third_party/libxsmm'... Still waiting to schedule task Waiting for next available executor on ‘dglci-manual-gpu-worker’ Still waiting to schedule task Waiting for next available executor on ‘dglci-manual-gpu-worker’ Still waiting to schedule task Waiting for next available executor on ‘dglci-manual-gpu-worker’ Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Cloning into 'third_party/libxsmm'... Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Cloning into 'third_party/libxsmm'... Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Cloning into 'third_party/libxsmm'... Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Cloning into 'third_party/libxsmm'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Cloning into 'third_party/nanoflann'... Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Cloning into 'third_party/nccl'... Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Cloning into 'third_party/phmap'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Cloning into 'third_party/nanoflann'... Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Cloning into 'third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/cub'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tvm'... Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Cloning into 'third_party/nccl'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' Cloning into 'third_party/googletest'... Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Cloning into 'third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Cloning into 'third_party/tensorpipe'... Submodule path 'third_party/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Cloning into 'third_party/nanoflann'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Cloning into 'third_party/libnop'... Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' Cloning into 'third_party/googletest'... Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Cloning into 'third_party/libuv'... Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Cloning into 'third_party/nccl'... Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Cloning into 'third_party/phmap'... Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Cloning into 'third_party/tensorpipe'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Cloning into 'third_party/libnop'... Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Cloning into 'third_party/pybind11'... Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Cloning into 'third_party/libuv'... Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' Cloning into 'third_party/googletest'... Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'tools/clang' Cloning into 'tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Cloning into 'third_party/thrust'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Cloning into 'third_party/libnop'... Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Cloning into 'third_party/nanoflann'... Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Cloning into 'third_party/nccl'... Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Cloning into 'third_party/phmap'... Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Cloning into 'third_party/libuv'... Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Cloning into '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' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' Cloning into 'third_party/googletest'... Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Cloning into 'third_party/pybind11'... Submodule path 'third_party/thrust': checked out '0ef5c509856e12cc408f0f00ed586b4c5b1a155c' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'dependencies/cub' Cloning into 'dependencies/cub'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Cloning into 'third_party/libnop'... Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'tools/clang' Cloning into 'tools/clang'... Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Cloning into 'third_party/pybind11'... Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Cloning into 'third_party/libuv'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Cloning into 'third_party/thrust'... Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'tools/clang' Cloning into 'tools/clang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Cloning into 'third_party/thrust'... Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/thrust/dependencies/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/tvm'... 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/thrust': checked out '0ef5c509856e12cc408f0f00ed586b4c5b1a155c' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'dependencies/cub' Cloning into 'dependencies/cub'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/thrust': checked out '0ef5c509856e12cc408f0f00ed586b4c5b1a155c' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'dependencies/cub' Cloning into 'dependencies/cub'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '0ef5c509856e12cc408f0f00ed586b4c5b1a155c' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Submodule path 'third_party/thrust/dependencies/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/tvm'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/tvm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path '3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path '3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path '3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path '3rdparty/vta-hw' Cloning into '3rdparty/dlpack'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Cloning into '3rdparty/dmlc-core'... Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Cloning into '3rdparty/rang'... Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Cloning into 'third_party/pybind11'... Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Cloning into '3rdparty/vta-hw'... Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Cloning into 'third_party/xbyak'... Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path '3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path '3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path '3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path '3rdparty/vta-hw' Cloning into '3rdparty/dlpack'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Cloning into '3rdparty/dmlc-core'... Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'tools/clang' Cloning into 'tools/clang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tvm/3rdparty/vta-hw'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085/third_party/tvm/3rdparty/dmlc-core'... Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' Cloning into '3rdparty/rang'... [Pipeline] unstash Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Cloning into 'third_party/thrust'... [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Cloning into '3rdparty/vta-hw'... [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' + bash tests/scripts/task_unit_test.sh tensorflow cpu Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Requirement already satisfied: pytest in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (7.0.1) Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path '3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path '3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path '3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path '3rdparty/vta-hw' Cloning into '3rdparty/dlpack'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Cloning into '3rdparty/dmlc-core'... Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Cloning into 'third_party/xbyak'... Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Cloning into '3rdparty/rang'... 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) [Pipeline] unstash [Pipeline] echo Unpacked build\dgl.dll, build\runUnitTests.exe, build\tensoradapter\pytorch\*.dll from dgl-cpu-win64 [Pipeline] bat Submodule path 'third_party/thrust': checked out '0ef5c509856e12cc408f0f00ed586b4c5b1a155c' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'dependencies/cub' Cloning into 'dependencies/cub'... Collecting pandas Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Cloning into '3rdparty/vta-hw'... administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4085>CALL tests\scripts\task_cpp_unit_test.bat Running main() from C:\Jenkins\workspace\dgl_PR-4085\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 [22:15:30] C:\Jenkins\workspace\dgl_PR-4085\src\rpc\network\msg_queue.cc:27: Message is larger than the queue. [ OK ] MessageQueueTest.AddRemove (1 ms) [ RUN ] MessageQueueTest.EmptyAndNoMoreAdd [ OK ] MessageQueueTest.EmptyAndNoMoreAdd (0 ms) [ RUN ] MessageQueueTest.MultiThread [ OK ] MessageQueueTest.MultiThread (12 ms) [----------] 3 tests from MessageQueueTest (13 ms total) [----------] 1 test from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv Using cached pandas-1.1.5-cp36-cp36m-manylinux1_x86_64.whl (9.5 MB) Collecting pydantic Downloading pydantic-1.9.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.2 MB) Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash Collecting rdflib Downloading rdflib-5.0.0-py3-none-any.whl (231 kB) Collecting ogb Downloading ogb-1.3.3-py3-none-any.whl (78 kB) Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Cloning into 'third_party/xbyak'... [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { Requirement already satisfied: packaging in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (21.3) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (1.2.3) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (1.11.0) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (1.0.0) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (21.4.0) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (4.8.3) Requirement already satisfied: iniconfig in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (1.1.1) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pandas) (2.8.2) Collecting pytz>=2017.2 Downloading pytz-2022.1-py2.py3-none-any.whl (503 kB) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pandas) (1.19.5) Requirement already satisfied: dataclasses>=0.6 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pydantic) (0.8) Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pydantic) (4.1.1) Requirement already satisfied: pyparsing in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from rdflib) (3.0.7) [Pipeline] sh Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: six in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from rdflib) (1.16.0) Collecting torch>=1.6.0 Downloading torch-1.10.2-cp36-cp36m-manylinux1_x86_64.whl (881.9 MB) + bash tests/scripts/task_unit_test.sh mxnet cpu Submodule path 'third_party/thrust/dependencies/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/tvm'... Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash Requirement already satisfied: pytest in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (7.0.1) Collecting psutil Downloading psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) Collecting pyyaml Downloading PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (603 kB) Collecting pandas Using cached pandas-1.1.5-cp36-cp36m-manylinux1_x86_64.whl (9.5 MB) Collecting pydantic Downloading pydantic-1.9.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.2 MB) Collecting rdflib Downloading rdflib-5.0.0-py3-none-any.whl (231 kB) Collecting ogb Downloading ogb-1.3.3-py3-none-any.whl (78 kB) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.0.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.2.3) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (21.4.0) Requirement already satisfied: packaging in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (21.3) Requirement already satisfied: iniconfig in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.1.1) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.11.0) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (4.8.3) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pandas) (2.8.2) Collecting pytz>=2017.2 Downloading pytz-2022.1-py2.py3-none-any.whl (503 kB) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pandas) (1.19.5) Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pydantic) (4.1.1) Collecting dataclasses>=0.6 Using cached dataclasses-0.8-py3-none-any.whl (19 kB) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: pyparsing in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from rdflib) (3.0.7) Requirement already satisfied: six in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from rdflib) (1.16.0) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from ogb) (1.26.8) Collecting torch>=1.6.0 Downloading torch-1.10.2-cp36-cp36m-manylinux1_x86_64.whl (881.9 MB) [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-36m-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-4085 ~/jenkins/workspace/dgl_PR-4085/build ~/jenkins/workspace/dgl_PR-4085 total 237M -rwxr-xr-x 1 root root 234M Jun 21 22:13 libdgl.so -rwxr-xr-x 1 root root 2.7M Jun 21 22:13 runUnitTests drwxr-xr-x 3 root root 4.0K Jun 21 22:15 tensoradapter Running main() from /root/jenkins/workspace/dgl_PR-4085@2/third_party/googletest/googletest/src/gtest_main.cc [==========] Running 100 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 [22:15:39] /root/jenkins/workspace/dgl_PR-4085@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 (8 ms) [----------] 3 tests from MessageQueueTest (8 ms total) [----------] 2 tests from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path '3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path '3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path '3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path '3rdparty/vta-hw' Cloning into '3rdparty/dlpack'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Cloning into '3rdparty/dmlc-core'... [ OK ] SocketCommunicatorTest.SendAndRecv (6009 ms) [----------] 1 test from SocketCommunicatorTest (6009 ms total) [----------] 3 tests from SplitStringTest [ RUN ] SplitStringTest.SplitStringUsingCompoundDelim [ OK ] SplitStringTest.SplitStringUsingCompoundDelim (0 ms) [ RUN ] SplitStringTest.testSplitStringUsingSingleDelim [ OK ] SplitStringTest.testSplitStringUsingSingleDelim (0 ms) [ RUN ] SplitStringTest.testSplitingNoDelimString [ OK ] SplitStringTest.testSplitingNoDelimString (0 ms) [----------] 3 tests from SplitStringTest (0 ms total) [----------] 1 test from StringPrintf [ RUN ] StringPrintf.normal [ OK ] StringPrintf.normal (0 ms) [----------] 1 test from StringPrintf (0 ms total) [----------] 13 tests from ArrayTest [ RUN ] ArrayTest.TestCreate [ OK ] ArrayTest.TestCreate (0 ms) [ RUN ] ArrayTest.TestRange [ OK ] ArrayTest.TestRange (0 ms) [ RUN ] ArrayTest.TestFull [ OK ] ArrayTest.TestFull (0 ms) [ RUN ] ArrayTest.TestClone [ OK ] ArrayTest.TestClone (0 ms) [ RUN ] ArrayTest.TestAsNumBits [ OK ] ArrayTest.TestAsNumBits (0 ms) [ RUN ] ArrayTest.Arith [ OK ] ArrayTest.Arith (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 (0 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 (1 ms total) [----------] 1 test from LineGraphTest [ RUN ] LineGraphTest.LineGraphCOO [ OK ] LineGraphTest.LineGraphCOO (0 ms) [----------] 1 test from LineGraphTest (0 ms total) [----------] 3 tests from CsrmmTest [ RUN ] CsrmmTest.TestCsrmm [ OK ] CsrmmTest.TestCsrmm (1 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (1 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (2 ms) [----------] 3 tests from CsrmmTest (4 ms total) [----------] 2 tests from PartitionTest [ RUN ] PartitionTest.TestRemainderPartition [ OK ] PartitionTest.TestRemainderPartition (0 ms) [ RUN ] PartitionTest.TestRangePartition [ OK ] PartitionTest.TestRangePartition (0 ms) [----------] 2 tests from PartitionTest (0 ms total) [----------] 11 tests from RowwiseTest [ RUN ] RowwiseTest.TestCSRSampling Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Cloning into '3rdparty/rang'... Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Cloning into '3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Cloning into 'third_party/xbyak'... Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash [ OK ] RowwiseTest.TestCSRSampling (2163 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [ OK ] RowwiseTest.TestCSRSamplingUniform (2 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (15 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (6 ms) [ RUN ] RowwiseTest.TestCOOSampling [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-36m-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-4085 ~/jenkins/workspace/dgl_PR-4085/build ~/jenkins/workspace/dgl_PR-4085 total 15M -rwxr-xr-x 1 root root 13M Jun 21 22:07 libdgl.so -rwxr-xr-x 1 root root 2.6M Jun 21 22:07 runUnitTests drwxr-xr-x 3 root root 4.0K Jun 21 22:15 tensoradapter Running main() from /root/jenkins/workspace/dgl_PR-4085/third_party/googletest/googletest/src/gtest_main.cc [==========] Running 100 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 [22:15:42] /root/jenkins/workspace/dgl_PR-4085/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 (4 ms) [----------] 3 tests from MessageQueueTest (4 ms total) [----------] 2 tests from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv Collecting outdated>=0.2.0 Using cached outdated-0.2.1-py3-none-any.whl (7.5 kB) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from ogb) (1.26.8) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from ogb) (4.62.3) Collecting scikit-learn>=0.20.0 Using cached scikit_learn-0.24.2-cp36-cp36m-manylinux2010_x86_64.whl (22.2 MB) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from importlib-metadata>=0.12->pytest) (3.6.0) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Requirement already satisfied: requests in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (2.27.1) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: scipy>=0.19.1 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.4.1) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2021.5.30) Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2.0.12) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Installing collected packages: threadpoolctl, pytz, littleutils, torch, scikit-learn, pandas, outdated, isodate, rdflib, pyyaml, pydantic, psutil, ogb Collecting outdated>=0.2.0 Using cached outdated-0.2.1-py3-none-any.whl (7.5 kB) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from ogb) (4.62.3) Collecting scikit-learn>=0.20.0 Using cached scikit_learn-0.24.2-cp36-cp36m-manylinux2010_x86_64.whl (22.2 MB) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from importlib-metadata>=0.12->pytest) (3.6.0) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Requirement already satisfied: requests in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (2.27.1) Requirement already satisfied: scipy>=0.19.1 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.5.4) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2021.5.30) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2.0.12) Installing collected packages: threadpoolctl, pytz, littleutils, dataclasses, torch, scikit-learn, pandas, outdated, isodate, rdflib, pyyaml, pydantic, psutil, ogb [ OK ] RowwiseTest.TestCOOSampling (4653 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] RowwiseTest.TestCOOSamplingUniform (218 ms) [ RUN ] RowwiseTest.TestCOOerEtypeSampling [ OK ] SocketCommunicatorTest.SendAndRecv (7001 ms) [ RUN ] SocketCommunicatorTest.SendAndRecvTimeout Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Cloning into 'third_party/nanoflann'... Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Cloning into 'third_party/nccl'... Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Cloning into 'third_party/phmap'... Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Cloning into '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/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' Cloning into 'third_party/googletest'... [ OK ] RowwiseTest.TestCOOerEtypeSampling (3126 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Cloning into 'third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/cub'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@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-4085@2/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' 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' [ OK ] SocketCommunicatorTest.SendAndRecv (7001 ms) [ RUN ] SocketCommunicatorTest.SendAndRecvTimeout Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Cloning into 'third_party/libuv'... [ OK ] SocketCommunicatorTest.SendAndRecvTimeout (2000 ms) [----------] 2 tests from SocketCommunicatorTest (9001 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 (1 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 (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 (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 [ OK ] SocketCommunicatorTest.SendAndRecvTimeout (5000 ms) [----------] 2 tests from SocketCommunicatorTest (12001 ms total) [----------] 3 tests from SplitStringTest [ RUN ] SplitStringTest.SplitStringUsingCompoundDelim [ OK ] SplitStringTest.SplitStringUsingCompoundDelim (0 ms) [ RUN ] SplitStringTest.testSplitStringUsingSingleDelim [ OK ] SplitStringTest.testSplitStringUsingSingleDelim (0 ms) [ RUN ] SplitStringTest.testSplitingNoDelimString [ OK ] SplitStringTest.testSplitingNoDelimString (0 ms) [----------] 3 tests from SplitStringTest (0 ms total) [----------] 1 test from StringPrintf [ RUN ] StringPrintf.normal [ OK ] StringPrintf.normal (0 ms) [----------] 1 test from StringPrintf (0 ms total) [----------] 13 tests from ArrayTest [ RUN ] ArrayTest.TestCreate [ OK ] ArrayTest.TestCreate (177 ms) [ RUN ] ArrayTest.TestRange Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/tensorpipe/third_party/libuv'... [ OK ] ArrayTest.TestRange (541 ms) [ RUN ] ArrayTest.TestFull [ OK ] ArrayTest.TestFull (0 ms) [ RUN ] ArrayTest.TestClone [ OK ] ArrayTest.TestClone (0 ms) [ RUN ] ArrayTest.TestAsNumBits [ OK ] ArrayTest.TestAsNumBits (0 ms) [ RUN ] ArrayTest.Arith [ OK ] ArrayTest.Arith (1 ms) [ RUN ] ArrayTest.HStack [ OK ] ArrayTest.HStack (1 ms) [ RUN ] ArrayTest.TestIndexSelect [ OK ] ArrayTest.TestIndexSelect (0 ms) [ RUN ] ArrayTest.TestRelabel_ [ OK ] ArrayTest.TestRelabel_ (1 ms) [ RUN ] ArrayTest.CumSum [ OK ] ArrayTest.CumSum (0 ms) [ RUN ] ArrayTest.Scatter_ [ OK ] ArrayTest.Scatter_ (1 ms) [ RUN ] ArrayTest.NonZero [ OK ] ArrayTest.NonZero (0 ms) [ RUN ] ArrayTest.Sort [ OK ] ArrayTest.Sort (1 ms) [----------] 13 tests from ArrayTest (724 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 (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 (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 Cloning into 'third_party/pybind11'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' [ OK ] CsrmmTest.TestCsrmm (357 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (5 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (1 ms) [----------] 3 tests from CsrmmTest (363 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 (18 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [ OK ] RowwiseTest.TestCSRSamplingUniform (3 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (18 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (11 ms) [ RUN ] RowwiseTest.TestCOOSampling Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' [ OK ] RowwiseTest.TestCOOSampling (259 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] RowwiseTest.TestCOOSamplingUniform (43 ms) [ RUN ] RowwiseTest.TestCOOerEtypeSampling Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'tools/clang' Cloning into 'tools/clang'... Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (4092 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (2 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (121 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased [ OK ] RowwiseTest.TestCSRSampling (2432 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Cloning into 'third_party/thrust'... [ OK ] RowwiseTest.TestCSRSamplingBiased (145 ms) [----------] 11 tests from RowwiseTest (14543 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement 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-4085@2/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '0ef5c509856e12cc408f0f00ed586b4c5b1a155c' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' [ OK ] RowwiseTest.TestCSRSamplingUniform (1709 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (14 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (7 ms) [ RUN ] RowwiseTest.TestCOOSampling Submodule path 'third_party/thrust': checked out '0ef5c509856e12cc408f0f00ed586b4c5b1a155c' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'dependencies/cub' Cloning into 'dependencies/cub'... [ OK ] SampleUtilsTest.TestWithReplacement (2266 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique [ OK ] RowwiseTest.TestCOOerEtypeSampling (4037 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Submodule path 'third_party/thrust/dependencies/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/tvm'... 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' [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (2686 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (11 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (5 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased [ OK ] RowwiseTest.TestCSRSamplingBiased (3 ms) [----------] 11 tests from RowwiseTest (7094 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4085@2/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (6057 ms) [----------] 3 tests from SampleUtilsTest (8323 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 (34 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 (3 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (2 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (3 ms) [----------] 4 tests from Serialize (8 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 (12 ms) [ RUN ] SpmatTest.TestCOOHasDuplicate [ OK ] SpmatTest.TestCOOHasDuplicate (0 ms) [ RUN ] SpmatTest.COOSort [ OK ] SpmatTest.COOSort (0 ms) [ RUN ] SpmatTest.TestCOOReorder [ OK ] SpmatTest.TestCOOReorder (2 ms) [ RUN ] SpmatTest.COOGetData [ OK ] SpmatTest.COOGetData (7 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (1 ms) [ RUN ] SpmatTest.TestCSRGetRowNNZ [ OK ] SpmatTest.TestCSRGetRowNNZ (0 ms) [ RUN ] SpmatTest.TestCSRGetRowColumnIndices [ OK ] SpmatTest.TestCSRGetRowColumnIndices (0 ms) [ RUN ] SpmatTest.TestCSRGetRowData [ OK ] SpmatTest.TestCSRGetRowData (0 ms) [ RUN ] SpmatTest.CSRGetData [ OK ] SpmatTest.CSRGetData (1 ms) [ RUN ] SpmatTest.CSRGetDataAndIndices [ OK ] SpmatTest.CSRGetDataAndIndices (0 ms) [ RUN ] SpmatTest.CSRTranspose [ OK ] SpmatTest.CSRTranspose (0 ms) [ RUN ] SpmatTest.CSRToCOO [ OK ] SpmatTest.CSRToCOO (0 ms) [ RUN ] SpmatTest.TestCSRSliceRows [ OK ] SpmatTest.TestCSRSliceRows (32 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (13 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 (69 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (5 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetInCSR [ OK ] UniGraphTest.TestUnitGraph_GetInCSR (4 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetOutCSR [ OK ] UniGraphTest.TestUnitGraph_GetOutCSR (6 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetCOO [ OK ] UniGraphTest.TestUnitGraph_GetCOO (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve [ OK ] UniGraphTest.TestUnitGraph_Reserve (5 ms) [----------] 7 tests from UniGraphTest (22 ms total) [----------] Global test environment tear-down [==========] 89 tests from 21 test suites ran. (29031 ms total) [ PASSED ] 89 tests. Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [ OK ] SampleUtilsTest.TestWithReplacement (3304 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Successfully installed isodate-0.6.1 littleutils-0.2.2 ogb-1.3.3 outdated-0.2.1 pandas-1.1.5 psutil-5.9.1 pydantic-1.9.1 pytz-2022.1 pyyaml-6.0 rdflib-5.0.0 scikit-learn-0.24.2 threadpoolctl-3.1.0 torch-1.10.2 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4085@2 collecting ... 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-4085@2>CALL tests\scripts\task_unit_test.bat pytorch Successfully installed dataclasses-0.8 isodate-0.6.1 littleutils-0.2.2 ogb-1.3.3 outdated-0.2.1 pandas-1.1.5 psutil-5.9.1 pydantic-1.9.1 pytz-2022.1 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-4085@4 collecting ... 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-4085-5\lib\site-packages (5.9.1) Requirement already satisfied: pyyaml in c:\program files\python36\lib\site-packages (6.0) Requirement already satisfied: pandas in c:\program files\python36\lib\site-packages (1.1.5) 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: 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: packaging in c:\program files\python36\lib\site-packages (from pytest) (20.4) Requirement already satisfied: colorama in c:\program files\python36\lib\site-packages (from pytest) (0.4.3) Requirement already satisfied: importlib-metadata>=0.12 in c:\program files\python36\lib\site-packages (from pytest) (1.7.0) Requirement already satisfied: pluggy<2.0,>=0.12 in c:\program files\python36\lib\site-packages (from pytest) (0.13.1) Requirement already satisfied: tomli>=1.0.0 in c:\program files\python36\lib\site-packages (from pytest) (1.2.3) Requirement already satisfied: attrs>=19.2.0 in c:\program files\python36\lib\site-packages (from pytest) (19.3.0) Requirement already satisfied: py>=1.8.2 in c:\program files\python36\lib\site-packages (from pytest) (1.9.0) Requirement already satisfied: numpy>=1.15.4 in c:\program files\python36\lib\site-packages (from pandas) (1.19.5) 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: dataclasses>=0.6 in c:\program files\python36\lib\site-packages (from pydantic) (0.8) Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\program files\python36\lib\site-packages (from pydantic) (4.0.1) Requirement already satisfied: six in c:\program files\python36\lib\site-packages (from rdflib) (1.15.0) Requirement already satisfied: pyparsing in c:\program files\python36\lib\site-packages (from rdflib) (2.4.7) [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } Collecting isodate Using cached isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: zipp>=0.5 in c:\program files\python36\lib\site-packages (from importlib-metadata>=0.12->pytest) (3.1.0) Installing collected packages: isodate, rdflib [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (4167 ms) [----------] 3 tests from SampleUtilsTest (7471 ms total) [----------] 3 tests from RandomTest [ RUN ] RandomTest.TestChoice [ OK ] RandomTest.TestChoice (0 ms) [ RUN ] RandomTest.TestUniformChoice [ OK ] RandomTest.TestUniformChoice (1 ms) [ RUN ] RandomTest.TestBiasedChoice [ OK ] RandomTest.TestBiasedChoice (16 ms) [----------] 3 tests from RandomTest (17 ms total) [----------] 4 tests from Serialize [ RUN ] Serialize.UnitGraph_COO [ OK ] Serialize.UnitGraph_COO (0 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (0 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (0 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (0 ms) [----------] 4 tests from Serialize (0 ms total) [----------] 3 tests from SmartPtrTest/0, where TypeParam = std::shared_ptr [ RUN ] SmartPtrTest/0.Obj_Test [ OK ] SmartPtrTest/0.Obj_Test (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test1 [ OK ] SmartPtrTest/0.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test2 [ OK ] SmartPtrTest/0.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/0 (0 ms total) [----------] 3 tests from SmartPtrTest/1, where TypeParam = std::unique_ptr > [ RUN ] SmartPtrTest/1.Obj_Test [ OK ] SmartPtrTest/1.Obj_Test (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test1 [ OK ] SmartPtrTest/1.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test2 [ OK ] SmartPtrTest/1.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/1 (0 ms total) [----------] 19 tests from SpmatTest [ RUN ] SpmatTest.COOToCSR [ OK ] SpmatTest.COOToCSR (5 ms) [ RUN ] SpmatTest.TestCOOHasDuplicate [ OK ] SpmatTest.TestCOOHasDuplicate (0 ms) [ RUN ] SpmatTest.COOSort [ OK ] SpmatTest.COOSort (2 ms) [ RUN ] SpmatTest.TestCOOReorder [ OK ] SpmatTest.TestCOOReorder (0 ms) [ RUN ] SpmatTest.COOGetData [ OK ] SpmatTest.COOGetData (7 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (3 ms) [ RUN ] SpmatTest.TestCSRGetRowNNZ [ OK ] SpmatTest.TestCSRGetRowNNZ (0 ms) [ RUN ] SpmatTest.TestCSRGetRowColumnIndices [ OK ] SpmatTest.TestCSRGetRowColumnIndices (1 ms) [ RUN ] SpmatTest.TestCSRGetRowData [ OK ] SpmatTest.TestCSRGetRowData (0 ms) [ RUN ] SpmatTest.CSRGetData [ OK ] SpmatTest.CSRGetData (2 ms) [ RUN ] SpmatTest.CSRGetDataAndIndices [ OK ] SpmatTest.CSRGetDataAndIndices (0 ms) [ RUN ] SpmatTest.CSRTranspose [ OK ] SpmatTest.CSRTranspose (1 ms) [ RUN ] SpmatTest.CSRToCOO [ OK ] SpmatTest.CSRToCOO (2 ms) [ RUN ] SpmatTest.TestCSRSliceRows Successfully installed isodate-0.6.1 rdflib-5.0.0 [ OK ] SpmatTest.TestCSRSliceRows (58 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (6 ms) [ RUN ] SpmatTest.CSRHasDuplicate [ OK ] SpmatTest.CSRHasDuplicate (1 ms) [ RUN ] SpmatTest.CSRSort [ OK ] SpmatTest.CSRSort (1 ms) [ RUN ] SpmatTest.TestCSRReorder [ OK ] SpmatTest.TestCSRReorder (0 ms) [----------] 19 tests from SpmatTest (89 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 (0 ms) [ RUN ] SpmmTest.TestSpmmSub [ OK ] SpmmTest.TestSpmmSub (1 ms) [ RUN ] SpmmTest.TestSpmmMul [ OK ] SpmmTest.TestSpmmMul (0 ms) [ RUN ] SpmmTest.TestSpmmDiv [ OK ] SpmmTest.TestSpmmDiv (0 ms) [----------] 6 tests from SpmmTest (1 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (11 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 (13 ms total) [----------] 4 tests from ZeroCopySerialize [ RUN ] ZeroCopySerialize.NDArray [ OK ] ZeroCopySerialize.NDArray (0 ms) [ RUN ] ZeroCopySerialize.ZeroShapeNDArray [ OK ] ZeroCopySerialize.ZeroShapeNDArray (0 ms) [ RUN ] ZeroCopySerialize.SharedMem [ OK ] ZeroCopySerialize.SharedMem (0 ms) [ RUN ] ZeroCopySerialize.HeteroGraph [ OK ] ZeroCopySerialize.HeteroGraph (0 ms) [----------] 4 tests from ZeroCopySerialize (0 ms total) [----------] Global test environment tear-down [==========] 100 tests from 23 test suites ran. (27827 ms total) [ PASSED ] 100 tests. ~/jenkins/workspace/dgl_PR-4085 Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... ============================= test session starts ============================= platform win32 -- Python 3.6.7, pytest-7.0.1, pluggy-0.13.1 -- C:\Users\Administrator\Envs\jenkins-dgl-PR-4085-5\Scripts\python.exe cachedir: .pytest_cache rootdir: C:\Jenkins\workspace\dgl_PR-4085@2 collecting ... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 1a0c25bbdb659a12437baabdc5e4df88129b5d44ba5da62d9e41a0e6d061f7b4 collected 2423 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype1] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype1] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] SKIPPED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype0] $ docker rm -f 1a0c25bbdb659a12437baabdc5e4df88129b5d44ba5da62d9e41a0e6d061f7b4 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4085 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential github Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype1] collected 3503 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 repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4085 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype1] Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype0] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4085/head:refs/remotes/origin/PR-4085 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 Merge succeeded, producing f16139b00c19b2439a2e05f7cf74ec10484a39a3 Checking out Revision f16139b00c19b2439a2e05f7cf74ec10484a39a3 (PR-4085) PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace 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] [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f f16139b00c19b2439a2e05f7cf74ec10484a39a3 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4085 f16139b00c19b2439a2e05f7cf74ec10484a39a3 # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype0] + docker pull dgllib/dgl-ci-gpu:cu101_v220217 PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype1] collected 2423 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 [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[int32] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[int64] cu101_v220217: Pulling from dgllib/dgl-ci-gpu Digest: sha256:54de7da1aded4109de9852e90105193ec0ea4b59d84d8c4e928e0cb43c0521ee Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220217 docker.io/dgllib/dgl-ci-gpu:cu101_v220217 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220217 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype0] dglci-manual-gpu-worker does not seem to be running inside a container 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] $ docker run -t -d -u 0:0 --runtime nvidia -w /root/jenkins/workspace/dgl_PR-4085 -v /root/jenkins/workspace/dgl_PR-4085:/root/jenkins/workspace/dgl_PR-4085:rw,z -v /root/jenkins/workspace/dgl_PR-4085@tmp:/root/jenkins/workspace/dgl_PR-4085@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_v220217 cat 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 [ 0%] tests/compute/test_basics.py::test_apply_edges[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[int32] $ docker top 4f777615e710e1f7c909d42b2de2ef7aaafa90ce4d33b1e788c239dd405f25bd -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (Tensorflow GPU Unit test) PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype0] [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include mycustomgnn python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@7bf98218; decorates RemoteLauncher[hudson.remoting.Channel@34edbd18:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype1] Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e 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] Merge succeeded, producing 8d12e8632bb79093b5f73389d3640bf7d0e58d18 Checking out Revision 8d12e8632bb79093b5f73389d3640bf7d0e58d18 (PR-4085) Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4085/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 8d12e8632bb79093b5f73389d3640bf7d0e58d18 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 8d12e8632bb79093b5f73389d3640bf7d0e58d18 # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 2%] tests/compute/test_batched_graph.py::test_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] [Pipeline] sh PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs0] + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' 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] 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 'third_party/METIS'... PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype1] PASSED [ 3%] 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 [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'GKlib' Cloning into 'GKlib'... PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[int32] Cloning into 'third_party/cub'... PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[int64] 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 [ 0%] tests/compute/test_basics.py::test_pull_0deg[int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[int64] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] 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 [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] 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 [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[int32] Submodule path 'third_party/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/dlpack'... PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype1] Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Cloning into 'third_party/dmlc-core'... PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] 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 [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Cloning into 'third_party/googletest'... PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[int64] 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 [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] 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 [ 1%] tests/compute/test_basics.py::test_issue_1088[int32] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[int32] Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Cloning into 'third_party/libxsmm'... 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Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Cloning into '3rdparty/dmlc-core'... Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Cloning into '3rdparty/rang'... Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Cloning into '3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Cloning into 'third_party/xbyak'... Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash 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] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { 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] [Pipeline] sh 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] + bash tests/scripts/task_unit_test.sh pytorch cpu 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] Requirement already satisfied: pytest in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (7.0.1) PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[int32] Collecting psutil PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[int64] 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 [ 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 Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (1.1.5) Collecting pydantic Downloading pydantic-1.9.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.2 MB) PASSED [ 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] Collecting rdflib Downloading rdflib-5.0.0-py3-none-any.whl (231 kB) Requirement already satisfied: ogb in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (1.3.2) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (1.11.0) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (4.8.3) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (1.0.0) Requirement already satisfied: iniconfig in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (1.1.1) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (21.4.0) Requirement already satisfied: packaging in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (21.3) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages 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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 [ 3%] 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] Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Cloning into 'third_party/nccl'... 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 [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype1] Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Cloning into 'third_party/phmap'... PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype1] PASSED [ 4%] tests/compute/test_data.py::test_minigc PASSED [ 4%] tests/compute/test_data.py::test_gin Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Cloning into '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/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' Cloning into 'third_party/googletest'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[cuda_indices-neighbor-idtype1] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Cloning into 'third_party/libnop'... Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Cloning into 'third_party/libuv'... Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Cloning into 'third_party/pybind11'... Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'tools/clang' Cloning into 'tools/clang'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[cuda_indices-neighbor2-idtype0] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Cloning into 'third_party/thrust'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[cuda_indices-neighbor2-idtype1] Submodule path 'third_party/thrust': checked out '0ef5c509856e12cc408f0f00ed586b4c5b1a155c' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'dependencies/cub' Cloning into 'dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/tvm'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[cpu_indices-full-idtype0] [ OK ] RowwiseTest.TestCOOSampling (59665 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] RowwiseTest.TestCOOSamplingUniform (8683 ms) [ RUN ] RowwiseTest.TestCOOerEtypeSampling Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path '3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path '3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path '3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path '3rdparty/vta-hw' Cloning into '3rdparty/dlpack'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Cloning into '3rdparty/dmlc-core'... Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Cloning into '3rdparty/rang'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[cpu_indices-full-idtype1] Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Cloning into '3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Cloning into 'third_party/xbyak'... Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[cpu_indices-neighbor-idtype0] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-36m-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/python3.6/site-packages (7.0.1) Collecting psutil Downloading psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) Collecting pyyaml Downloading PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (603 kB) PASSED [ 5%] tests/compute/test_data.py::test_fraud PASSED [ 5%] tests/compute/test_data.py::test_fakenews Collecting pandas Using cached pandas-1.1.5-cp36-cp36m-manylinux1_x86_64.whl (9.5 MB) Collecting pydantic Downloading pydantic-1.9.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.2 MB) Collecting rdflib Downloading rdflib-5.0.0-py3-none-any.whl (231 kB) Collecting ogb Downloading ogb-1.3.3-py3-none-any.whl (78 kB) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (4.8.3) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (1.0.0) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (21.4.0) Requirement already satisfied: iniconfig in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (1.1.1) Requirement already satisfied: packaging in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (21.3) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (1.2.3) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (1.11.0) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pandas) (2.8.2) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pandas) (1.19.5) Collecting pytz>=2017.2 Downloading pytz-2022.1-py2.py3-none-any.whl (503 kB) Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pydantic) (4.1.1) Requirement already satisfied: dataclasses>=0.6 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pydantic) (0.8) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: pyparsing in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from rdflib) (3.0.7) Requirement already satisfied: six in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from rdflib) (1.16.0) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from ogb) (1.26.8) Collecting torch>=1.6.0 Downloading torch-1.10.2-cp36-cp36m-manylinux1_x86_64.whl (881.9 MB) PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[cpu_indices-neighbor-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[cpu_indices-neighbor2-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[cpu_indices-neighbor2-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-neg_sampler0-full] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-neg_sampler0-neighbor] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-neg_sampler1-full] [ OK ] RowwiseTest.TestCOOerEtypeSampling (30126 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform PASSED [ 0%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-neg_sampler1-neighbor] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-neg_sampler2-full] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-neg_sampler2-neighbor] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-neg_sampler0-full] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-neg_sampler0-neighbor] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-neg_sampler1-full] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-neg_sampler1-neighbor] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-neg_sampler2-full] PASSED [ 1%] 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tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype1] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype0] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype1] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype0] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype1] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype0] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype1] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype0] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype1] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype0] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype1] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype0] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype1] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype0] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype1] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype0] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype1] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype0] PASSED [ 5%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_tagconv[1] PASSED [ 23%] tests/pytorch/test_nn.py::test_tagconv[2] PASSED [ 23%] tests/pytorch/test_nn.py::test_set2set PASSED [ 23%] tests/pytorch/test_nn.py::test_glob_att_pool PASSED [ 23%] tests/pytorch/test_nn.py::test_simple_pool PASSED [ 23%] tests/pytorch/test_nn.py::test_set_trans PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[8-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[8-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[32-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[32-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype1] PASSED [ 25%] 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[ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype1] Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from ogb) (4.62.3) 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-0.24.2-cp36-cp36m-manylinux2010_x86_64.whl (22.2 MB) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from importlib-metadata>=0.12->pytest) (3.6.0) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Requirement already satisfied: requests in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (2.27.1) Requirement already satisfied: scipy>=0.19.1 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.4.1) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2021.5.30) Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2.0.12) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Installing collected packages: threadpoolctl, pytz, littleutils, torch, scikit-learn, pandas, outdated, isodate, rdflib, pyyaml, pydantic, psutil, ogb PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype1] PASSED [ 27%] 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tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype1] [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (19984 ms) [ RUN ] RowwiseTest.TestCSRTopk PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype0] [ OK ] RowwiseTest.TestCSRTopk (319 ms) [ RUN ] RowwiseTest.TestCOOTopk PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype0] [ OK ] RowwiseTest.TestCOOTopk (873 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_cheb_conv[1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] PASSED [ 48%] tests/pytorch/test_nn.py::test_sequential PASSED [ 48%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_hetero_conv[sum-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_hetero_conv[sum-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_hetero_conv[max-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_hetero_conv[max-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_hetero_conv[min-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_hetero_conv[min-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_hetero_conv[mean-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_hetero_conv[mean-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_hetero_conv[stack-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_hetero_conv[stack-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_hetero_conv[myagg-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_hetero_conv[myagg-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_hetero_linear[1] PASSED [ 50%] tests/pytorch/test_nn.py::test_hetero_linear[2] PASSED [ 50%] tests/pytorch/test_nn.py::test_hetero_linear[100] PASSED [ 50%] tests/pytorch/test_nn.py::test_hetero_embedding[1] PASSED [ 50%] tests/pytorch/test_nn.py::test_hetero_embedding[2] PASSED [ 50%] tests/pytorch/test_nn.py::test_hetero_embedding[100] PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] [ OK ] RowwiseTest.TestCSRSamplingBiased (3181 ms) [----------] 11 tests from RowwiseTest (126998 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] [ OK ] SampleUtilsTest.TestWithReplacement (2551 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (3898 ms) [----------] 3 tests from SampleUtilsTest (6449 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 (10 ms) [----------] 3 tests from RandomTest (11 ms total) [----------] 4 tests from Serialize [ RUN ] Serialize.UnitGraph_COO [ OK ] Serialize.UnitGraph_COO (27 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (34 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (34 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (68 ms) [----------] 4 tests from Serialize (163 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 (275 ms) [ RUN ] SpmatTest.TestCOOHasDuplicate [ OK ] SpmatTest.TestCOOHasDuplicate (0 ms) [ RUN ] SpmatTest.COOSort [ OK ] SpmatTest.COOSort (1 ms) [ RUN ] SpmatTest.TestCOOReorder [ OK ] SpmatTest.TestCOOReorder (4 ms) [ RUN ] SpmatTest.COOGetData [ OK ] SpmatTest.COOGetData (34 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (1 ms) [ RUN ] SpmatTest.TestCSRGetRowNNZ [ OK ] SpmatTest.TestCSRGetRowNNZ (0 ms) [ RUN ] SpmatTest.TestCSRGetRowColumnIndices [ OK ] SpmatTest.TestCSRGetRowColumnIndices (1 ms) [ RUN ] SpmatTest.TestCSRGetRowData [ OK ] SpmatTest.TestCSRGetRowData (0 ms) [ RUN ] SpmatTest.CSRGetData [ OK ] SpmatTest.CSRGetData (0 ms) [ RUN ] SpmatTest.CSRGetDataAndIndices [ OK ] SpmatTest.CSRGetDataAndIndices (0 ms) [ RUN ] SpmatTest.CSRTranspose [ OK ] SpmatTest.CSRTranspose (0 ms) [ RUN ] SpmatTest.CSRToCOO [ OK ] SpmatTest.CSRToCOO (0 ms) [ RUN ] SpmatTest.TestCSRSliceRows [ OK ] SpmatTest.TestCSRSliceRows (353 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (3 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 (672 ms total) [----------] 6 tests from SpmmTest [ RUN ] SpmmTest.TestSpmmCopyLhs [ OK ] SpmmTest.TestSpmmCopyLhs (0 ms) [ RUN ] SpmmTest.TestSpmmCopyRhs [ OK ] SpmmTest.TestSpmmCopyRhs (1 ms) [ RUN ] SpmmTest.TestSpmmAdd [ OK ] SpmmTest.TestSpmmAdd (0 ms) [ RUN ] SpmmTest.TestSpmmSub [ OK ] SpmmTest.TestSpmmSub (0 ms) [ RUN ] SpmmTest.TestSpmmMul [ OK ] SpmmTest.TestSpmmMul (1 ms) [ RUN ] SpmmTest.TestSpmmDiv [ OK ] SpmmTest.TestSpmmDiv (0 ms) [----------] 6 tests from SpmmTest (2 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (40 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetInCSR [ OK ] UniGraphTest.TestUnitGraph_GetInCSR (131 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetOutCSR [ OK ] UniGraphTest.TestUnitGraph_GetOutCSR (36 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetCOO [ OK ] UniGraphTest.TestUnitGraph_GetCOO (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] [ OK ] UniGraphTest.TestUnitGraph_Reserve (88 ms) [----------] 7 tests from UniGraphTest (295 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 (32 ms) [----------] 4 tests from ZeroCopySerialize (32 ms total) [----------] Global test environment tear-down [==========] 100 tests from 23 test suites ran. (143632 ms total) [ PASSED ] 100 tests. ~/jenkins/workspace/dgl_PR-4085 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 831e36f1a09990b35e6de54b25a688da5b93c4a52af2569b5bd1f57196e8801b PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] Successfully installed isodate-0.6.1 littleutils-0.2.2 ogb-1.3.3 outdated-0.2.1 pandas-1.1.5 psutil-5.9.1 pydantic-1.9.1 pytz-2022.1 pyyaml-6.0 rdflib-5.0.0 scikit-learn-0.24.2 threadpoolctl-3.1.0 torch-1.10.2 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4085 collecting ... PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] $ docker rm -f 831e36f1a09990b35e6de54b25a688da5b93c4a52af2569b5bd1f57196e8801b PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression [Pipeline] // stage [Pipeline] } PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] collected 2425 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype1] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype1] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] SKIPPED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype0] SKIPPED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype1] SKIPPED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] 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 [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes SKIPPED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype1] PASSED [ 4%] tests/compute/test_data.py::test_minigc SKIPPED (Datasets don't need...) [ 4%] tests/compute/test_data.py::test_gin SKIPPED (Datasets don't need to...) [ 5%] tests/compute/test_data.py::test_fraud SKIPPED (Datasets don't need ...) [ 5%] tests/compute/test_data.py::test_fakenews SKIPPED (Datasets don't ne...) [ 5%] tests/compute/test_data.py::test_tudataset_regression SKIPPED (Datas...) [ 5%] tests/compute/test_data.py::test_data_hash SKIPPED (Datasets don't n...) [ 5%] tests/compute/test_data.py::test_citation_graph SKIPPED (Datasets do...) [ 5%] tests/compute/test_data.py::test_gnn_benchmark SKIPPED (Datasets don...) [ 5%] tests/compute/test_data.py::test_reddit SKIPPED (Datasets don't need...) [ 5%] tests/compute/test_data.py::test_explain_syn SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_wiki_cs SKIPPED (Datasets don't nee...) [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr SKIPPED (Datasets don't need...) [ 5%] tests/compute/test_data.py::test_extract_archive SKIPPED (Datasets d...) [ 5%] tests/compute/test_data.py::test_csvdataset SKIPPED (Datasets don't ...) [ 5%] tests/compute/test_data.py::test_add_nodepred_split SKIPPED (Dataset...) [ 5%] tests/compute/test_data.py::test_as_nodepred1 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred2 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_linkpred SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset SKIPPED (Dat...) [ 5%] tests/compute/test_data.py::test_as_graphpred SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess SKIPPED (Dat...) [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb SKIPPED (ogb only ...) [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype0] PASSED [ 6%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] SKIPPED [ 6%] tests/compute/test_ffi.py::test_cython PASSED [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype1] PASSED [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph SKIPPED (GPU rando...) [ 6%] tests/compute/test_graph.py::test_query PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] PASSED [ 5%] tests/compute/test_data.py::test_gnn_benchmark PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 6%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 6%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 6%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-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 [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 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 [ 8%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] PASSED [ 8%] 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 [ 5%] tests/compute/test_data.py::test_tudataset_regression 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 [ 51%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_reverse[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype0] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype1] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 51%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] PASSED [ 5%] tests/compute/test_data.py::test_reddit 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 [ 51%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph PASSED [ 51%] tests/pytorch/test_nn.py::test_jumping_knowledge PASSED [ 51%] tests/pytorch/test_nn.py::test_edge_predictor[dot] PASSED [ 51%] tests/pytorch/test_nn.py::test_edge_predictor[cos] PASSED [ 51%] tests/pytorch/test_nn.py::test_edge_predictor[ele] PASSED [ 51%] tests/pytorch/test_nn.py::test_edge_predictor[cat] PASSED [ 51%] tests/pytorch/test_nn.py::test_ke_score_funcs PASSED [ 51%] tests/pytorch/test_nn.py::test_twirls PASSED [ 51%] tests/pytorch/test_nn.py::test_typed_linear[None-None-4] PASSED [ 51%] tests/pytorch/test_nn.py::test_typed_linear[None-None-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-4] PASSED [ 51%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-4] PASSED [ 51%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_radius_graph[True-True] PASSED [ 51%] tests/pytorch/test_nn.py::test_radius_graph[True-False] PASSED [ 51%] tests/pytorch/test_nn.py::test_radius_graph[False-True] PASSED [ 51%] tests/pytorch/test_nn.py::test_radius_graph[False-False] PASSED [ 51%] tests/pytorch/test_nn.py::test_group_rev_res[idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_group_rev_res[idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 5%] tests/compute/test_data.py::test_gnn_benchmark PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 5%] tests/compute/test_data.py::test_reddit PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 63%] 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 [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 64%] 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 [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 65%] 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 66%] 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 [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 67%] 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 [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 68%] 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 [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 69%] 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 [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 70%] 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 [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 71%] 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 [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 72%] 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 [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 73%] 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 [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-5] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-5] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-5] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-5] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-5] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-5] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-5] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-5] PASSED [ 74%] 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 [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-3] PASSED [ 75%] 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 [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 79%] 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 [ 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_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 [ 11%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 11%] 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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 [ 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 [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 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 [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 19%] 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 [ 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 [ 20%] tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 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 [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler_all 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 [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler 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 [ 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 SKIPPED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec SKIPPED (GPU random wa...) [ 20%] tests/compute/test_sampling.py::test_pack_traces SKIPPED (GPU pack t...) [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[True] PASSED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[False] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob SKIPPED (...) [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk SKIPPED (...) [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg SKIPPED [ 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] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] 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_exclude_edges_heteroG[int32] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] SKIPPED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] SKIPPED [ 21%] 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 [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] 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 [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] 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 [ 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 [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 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 [ 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 [ 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 [ 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 [ 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 [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] PASSED [ 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_nPn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] ASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 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] PASSEPASSED [ 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-scalers0D [ 25%] tests/compute/test_sparse.py::test_spmm[idty-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] pe0-sum-copy_rhs-shp4-g1] 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-0-1-0.0-2.5PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] PASSED [ 25%] tests/comput-scalers0-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[e/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] PASTrue-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1SED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0--0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgnmin-add-shp0-g0] _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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] 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 [ 25%] 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 [ 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 [ 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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 83%] 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::tePASSED [ 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] st_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 [ 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 [ 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 [ 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 [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::testPASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 26%] tests/compute/test_spar_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.pse.py::test_spmm[idtype0-min-sub-shp3-g1] y::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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 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 [ 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 [ 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] 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 [ 27%] 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 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 [ 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 [ 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 [ 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 [ 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 [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] 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 [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] 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 [ 28%] 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 [ 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 [ 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 [ 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 [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 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 [ 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] 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 [ 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 [ 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 87%]PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] 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 [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] 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 [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] 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 [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] 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 [ 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 [ 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] PASSED [ 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] PASSED [ 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] PASSED [ 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] PASSED [ 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 [ 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 [ 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 88%] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] 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 [ 30%] 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 89%] 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 [ 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 [ 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%]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] 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 [ 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 [ 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 [ 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 [ 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 [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] 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 [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] PASSED [ 90%] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] 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 [ 31%] 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 [ 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] 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 [ 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 [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] 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 [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] 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 [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] 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 [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] PASSED [ 91%] 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 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 [ 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 [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_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-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] 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 [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] 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 [ 92%] 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 [ 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 [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 92%]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] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] PASSED [ 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 [ 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 [ 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 [ 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 [ 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] 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 [ 34%] 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 [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] 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 [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g1] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g1] PASSED [ 93%] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g0] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g0] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-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 [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 94%] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] PASSED [ 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] PASSED [ 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g0] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g0] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 95%] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g0] PASSED [ 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] PASSED [ 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g0] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] PASSED [ 96%] 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] PASSED [ 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] PASSED [ 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g0] 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g0] PASSED [ 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] PASSED [ 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 [ 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 [ 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] 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 [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] 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 [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] 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 [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] PASSED [ 97%] 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 [ 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 [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] 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 [ 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 [ 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] 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 [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 38%] 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 [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] 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 [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g0] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] PASSED [ 98%] 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 [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] 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 [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g0] 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 [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] 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 [ 39%] 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 [ 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 [ 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 [ 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 [ 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 [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 99%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 5%] tests/compute/test_data.py::test_explain_syn PASSED [ 5%] tests/compute/test_data.py::test_wiki_cs PASSED [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr PASSED [ 5%] tests/compute/test_data.py::test_explain_syn PASSED [ 5%] tests/compute/test_data.py::test_wiki_cs PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] PASSED [ 99%] tests/pytorch/test_optim.py::test_sparse_adam SKIPPED (Do not suppor...) [ 99%] tests/pytorch/test_optim.py::test_sparse_adam_zero_step SKIPPED (Do ...) [ 99%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-8] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-8] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[8] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-8] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-8] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[8] SKIPPED [ 99%] tests/pytorch/test_pickle.py::test_pickling_batched_graph PASSED [ 99%] tests/pytorch/test_pin_memory.py::test_pin_noncontiguous SKIPPED (Ne...) [ 99%] tests/pytorch/test_pin_memory.py::test_pin_view SKIPPED (Need gpu fo...) [ 99%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] SKIPPED [ 99%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] SKIPPED [ 99%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] SKIPPED [ 99%] tests/pytorch/test_stream.py::test_basics SKIPPED (stream only runs ...) [ 99%] tests/pytorch/test_unified_tensor.py::test_unified_tensor SKIPPED (D...) [ 99%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[1] SKIPPED [ 99%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[2] SKIPPED [100%] ============================== warnings summary =============================== python\dgl\backend\backend.py:1741 C:\Jenkins\workspace\dgl_PR-4085@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: 20 warnings C:\Jenkins\workspace\dgl_PR-4085@2\python\dgl\dataloading\dataloader.py:952: DGLWarning: EdgeDataLoader directly taking a BlockSampler will be deprecated and it will not support feature prefetching. Please use dgl.dataloading.as_edge_prediction_sampler to wrap it. 'EdgeDataLoader directly taking a BlockSampler will be deprecated ' tests/pytorch/test_nn.py: 11 warnings tests/pytorch/test_pickle.py: 1 warning C:\Jenkins\workspace\dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2\pytest_backend.xml -- ========== 3466 passed, 37 skipped, 38 warnings in 236.27s (0:03:56) ========== PASSED [ 5%] tests/compute/test_data.py::test_extract_archive PASSED [ 5%] tests/compute/test_data.py::test_csvdataset PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g0] ============================= test session starts ============================= platform win32 -- Python 3.6.7, pytest-7.0.1, pluggy-0.13.1 -- C:\Users\Administrator\Envs\jenkins-dgl-PR-4085-5\Scripts\python.exe cachedir: .pytest_cache rootdir: C:\Jenkins\workspace\dgl_PR-4085@2 collecting ... PASSED [ 5%] tests/compute/test_data.py::test_add_nodepred_split PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g1] PASSED [ 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 [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g1] PASSED [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) 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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 [ 4%] 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%] 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PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype1] PASSED [ 4%] tests/compute/test_data.py::test_minigc PASSED [ 4%] tests/compute/test_data.py::test_gin PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g1] PASSED [ 44%] 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[ 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 PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g0] PASSED [ 45%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g0] 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 [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g0] PASSED [ 49%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g0] PASSED [ 59%] 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 [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess 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 [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g0] PASSED [ 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 [ 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 [ 6%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] PASSED [ 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_generators.py::test_rand_graph PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g1] PASSED [ 6%] tests/compute/test_graph.py::test_query PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g1] PASSED [ 61%] 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 [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 6%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 6%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 6%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] PASSED [ 62%] 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PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g0] 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%] 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tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g1] PASSED [ 65%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g1] 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 [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] PASSED [ 65%] 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 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tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g0] PASSED [ 70%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g0] 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 [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g1] PASSED [ 71%] 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%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g0] PASSED [ 80%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 84%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 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 [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 5%] tests/compute/test_data.py::test_gnn_benchmark 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] FAILED [ 5%] tests/compute/test_data.py::test_as_linkpred PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb 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 [ 5%] tests/compute/test_data.py::test_reddit PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype1] SKIPPED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype1] PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph 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 [ 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tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected SKIPPED (GPU not...) [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph SKIPPED (GPU not ...) [ 96%] tests/compute/test_transform.py::test_khop_graph SKIPPED (GPU not im...) [ 96%] tests/compute/test_transform.py::test_khop_adj SKIPPED (GPU not impl...) [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max SKIPPED (...) [ 96%] tests/compute/test_transform.py::test_partition_with_halo SKIPPED (G...) [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] SKIPPED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes SKIPPED (It does...) [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] SKIPPED (GP...) 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[ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] SKIPPED (O...) [ 99%] tests/compute/test_transform.py::test_module_gdc[idtype1] SKIPPED (O...) [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] SKIPPED (Only ...) [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] SKIPPED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1741 /root/jenkins/workspace/dgl_PR-4085/python/dgl/backend/backend.py:1741: DeprecationWarning: invalid escape sequence \P """ ../../../../opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py:15 /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py:15: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 6 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/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-4085/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-4085/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-4085/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_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-4085/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-4085/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-4085/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-4085/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-4085/tests/compute/test_heterograph.py:1110: 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-4085/tests/compute/test_heterograph.py:1111: 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-4085/python/dgl/heterograph.py:2635: DGLWarning: DGLGraph.is_readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.is_readonly is deprecated in v0.5.\n' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/python/dgl/transforms/functional.py:1192: 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-4085/python/dgl/transforms/functional.py:1195: 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-4085/pytest_compute.xml -- ========= 2213 passed, 212 skipped, 191 warnings in 267.83s (0:04:27) ========== ============================= test session starts ============================== platform linux -- Python 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4085 collecting ... PASSED [ 5%] tests/compute/test_data.py::test_gnn_benchmark 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%] 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tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g1-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g2-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g2-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g3-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g3-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g4-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g4-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g5-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g5-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g6-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g6-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g0-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g0-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g1-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g1-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g2-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g2-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g3-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g3-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g4-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g4-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g5-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g5-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g6-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g6-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g0-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g0-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g1-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g1-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g2-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g2-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g3-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g3-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g4-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g4-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g5-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g5-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g6-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g6-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g0-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g0-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g1-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g1-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g2-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g2-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g3-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g3-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g4-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g4-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g5-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g5-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g6-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g6-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g0-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g0-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g1-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g1-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g2-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g2-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g3-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g3-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g4-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g4-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g5-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g5-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g6-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g6-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g0-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g0-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g1-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g1-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g2-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g2-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g3-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g3-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g4-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g4-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g5-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g5-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g6-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g6-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g0-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g0-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g1-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g1-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g2-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g2-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g3-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g3-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g4-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g4-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g5-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g5-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g6-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g6-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g0-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g0-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g1-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g1-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g2-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g2-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g3-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g3-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g4-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g4-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g5-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g5-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g6-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g6-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g0-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g0-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g1-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g1-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g2-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g2-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g3-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g3-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g4-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g4-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g5-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g5-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g6-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g6-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g0-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g0-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g1-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g1-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g2-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g2-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g3-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g3-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g4-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g4-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g5-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g5-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g6-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g6-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g0-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g0-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g1-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g1-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g2-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g2-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g3-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g3-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g4-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g4-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g5-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g5-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g6-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g6-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g0-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g0-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g1-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g1-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g2-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g2-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g3-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g3-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g4-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g4-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g5-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g5-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g6-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g6-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g0-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g0-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g1-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g1-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g2-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g2-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g3-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g3-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g4-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g4-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g5-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g5-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g6-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g6-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g0-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g0-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g1-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g1-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g4-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g4-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g5-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g5-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g6-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g6-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g0-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g0-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g3-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g3-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g4-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g4-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g5-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g5-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g6-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g6-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g0-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g0-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g1-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g1-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g2-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g2-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g3-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g3-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g4-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g4-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g5-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g5-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g6-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g6-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g0-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g0-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g1-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g1-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g2-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g2-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g3-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g3-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g4-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g4-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g5-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g5-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g6-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g6-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g0-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g0-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g1-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g1-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g2-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g2-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g3-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g3-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g4-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g4-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g5-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g5-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g6-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g6-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g0-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g0-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g1-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g1-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g2-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g2-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g3-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g3-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g4-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g4-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g5-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g5-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g6-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g6-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g0-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g0-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g1-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g1-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g2-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g2-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g3-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g3-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g4-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g4-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g5-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g5-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g6-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g6-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g0-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g0-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g1-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g1-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g2-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g2-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g3-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g3-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g4-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g4-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g5-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g5-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g6-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g6-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g0-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g0-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g1-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g1-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g2-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g2-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g3-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g3-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g4-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g4-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g5-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g5-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g6-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g6-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g0-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g0-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g1-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g1-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g2-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g2-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g3-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g3-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g4-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g4-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g5-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g5-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g6-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g6-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g0-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g0-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g1-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g1-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g0-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g0-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g1-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g1-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g1-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g1-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g1-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g1-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g0-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g1-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g1-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g0-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g1-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g1-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-idtype0] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-idtype0] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_simple_pool PASSED [ 59%] tests/tensorflow/test_nn.py::test_glob_att_pool PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[2] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[8] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g0-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g0-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g1-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g1-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g2-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g2-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g3-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g3-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g4-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g4-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g5-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g5-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g6-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g6-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g7-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g7-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g0-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g0-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g1-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g1-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g2-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g2-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g3-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g3-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g4-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g4-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g5-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g5-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g6-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g6-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g7-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g7-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g0-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g0-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g1-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g1-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g2-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g2-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g3-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g3-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g4-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g4-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g5-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g5-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g6-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g6-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g7-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g7-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g0-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g0-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g1-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g1-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g2-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g2-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g3-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g3-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g4-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g4-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g5-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g5-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g6-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g6-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g7-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g7-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g0-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g0-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g1-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g1-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g2-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g2-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g3-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g3-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g4-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g4-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g5-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g5-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g6-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g6-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g7-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g7-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g0-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g0-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g5-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g5-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g6-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g6-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g7-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g7-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g7-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g7-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g7-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g7-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g7-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g7-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g2-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g2-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g2-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g2-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g2-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g2-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g1-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g0-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g0-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g1-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g1-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] PASSED [100%] =============================== warnings summary =============================== ../../../../opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py:15 /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py:15: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp tests/tensorflow/test_nn.py::test_graph_conv[1] tests/tensorflow/test_nn.py::test_graph_conv[2] tests/tensorflow/test_nn.py::test_simple_pool tests/tensorflow/test_nn.py::test_glob_att_pool tests/tensorflow/test_nn.py::test_rgcn[1] tests/tensorflow/test_nn.py::test_rgcn[2] tests/tensorflow/test_nn.py::test_rgcn[8] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/pytest_backend.xml -- ====================== 920 passed, 13 warnings in 14.26s ======================= [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 4f777615e710e1f7c909d42b2de2ef7aaafa90ce4d33b1e788c239dd405f25bd $ docker rm -f 4f777615e710e1f7c909d42b2de2ef7aaafa90ce4d33b1e788c239dd405f25bd [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4085 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential github Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4085 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4085/head:refs/remotes/origin/PR-4085 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 Merge succeeded, producing 69a56ef153eecc4b93b726f2a8d10c84bc0d1d08 Checking out Revision 69a56ef153eecc4b93b726f2a8d10c84bc0d1d08 (PR-4085) Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 69a56ef153eecc4b93b726f2a8d10c84bc0d1d08 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4085 69a56ef153eecc4b93b726f2a8d10c84bc0d1d08 # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # 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_v220217 cu101_v220217: Pulling from dgllib/dgl-ci-gpu Digest: sha256:54de7da1aded4109de9852e90105193ec0ea4b59d84d8c4e928e0cb43c0521ee Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220217 docker.io/dgllib/dgl-ci-gpu:cu101_v220217 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220217 . [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-4085 -v /root/jenkins/workspace/dgl_PR-4085:/root/jenkins/workspace/dgl_PR-4085:rw,z -v /root/jenkins/workspace/dgl_PR-4085@tmp:/root/jenkins/workspace/dgl_PR-4085@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_v220217 cat $ docker top 5f0e1fd35c04ef6d6a014aec5f3ee73fec28178b3a13da4f66da02f40ea46eb4 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (Torch GPU Unit test) [Pipeline] sh + nvidia-smi Tue Jun 21 22:23:01 2022 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | | N/A 44C P8 16W / 70W | 0MiB / 15360MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include mycustomgnn python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@742d2dc4; decorates RemoteLauncher[hudson.remoting.Channel@34edbd18: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 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e Merge succeeded, producing 5d8424816d4137d1f05bd40fe621f3211a122a8d Checking out Revision 5d8424816d4137d1f05bd40fe621f3211a122a8d (PR-4085) Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4085/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 5d8424816d4137d1f05bd40fe621f3211a122a8d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 5d8424816d4137d1f05bd40fe621f3211a122a8d # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh PASSED [ 5%] tests/compute/test_data.py::test_reddit + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'third_party/METIS'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'GKlib' Cloning into 'GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Cloning into 'third_party/cub'... Submodule path 'third_party/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/dlpack'... Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Cloning into 'third_party/dmlc-core'... Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Cloning into 'third_party/googletest'... Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Cloning into 'third_party/libxsmm'... 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_new_update_all_hetero.py::test_unary_copy_u[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] SKIPPED [ 11%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype0] PASSED [ 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 [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype1] PASSED [ 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 [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype1] PASSED [ 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 [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 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 [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype0] PASSED [ 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 [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 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 [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 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 PASSED [ 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[False] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Cloning into 'third_party/nanoflann'... Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Cloning into 'third_party/nccl'... Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Cloning into 'third_party/phmap'... PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Cloning into '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/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' Cloning into 'third_party/googletest'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Cloning into 'third_party/libnop'... Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Cloning into 'third_party/libuv'... Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Cloning into 'third_party/pybind11'... Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'tools/clang' Cloning into 'tools/clang'... PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Cloning into 'third_party/thrust'... PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous PASSED [ 20%] 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 [ 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] Submodule path 'third_party/thrust': checked out '0ef5c509856e12cc408f0f00ed586b4c5b1a155c' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'dependencies/cub' Cloning into 'dependencies/cub'... 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_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] Submodule path 'third_party/thrust/dependencies/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/tvm'... PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Need g...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] PASSED [ 22%] 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] Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path '3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path '3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path '3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path '3rdparty/vta-hw' Cloning into '3rdparty/dlpack'... 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] Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Cloning into '3rdparty/dmlc-core'... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Cloning into '3rdparty/rang'... Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Cloning into '3rdparty/vta-hw'... 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] Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Cloning into 'third_party/xbyak'... 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] Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash 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 [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-gpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_unit_test.sh pytorch gpu PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] Requirement already satisfied: pytest in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (7.0.1) Collecting psutil Downloading psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) Collecting pyyaml Downloading PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (603 kB) PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (1.1.5) Collecting pydantic Downloading pydantic-1.9.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.2 MB) Collecting rdflib Downloading rdflib-5.0.0-py3-none-any.whl (231 kB) Requirement already satisfied: ogb in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (1.3.2) Requirement already satisfied: iniconfig in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (1.1.1) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (21.4.0) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (4.8.3) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (1.0.0) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (1.11.0) Requirement already satisfied: packaging in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (21.3) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (1.2.3) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pandas) (1.19.5) Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pandas) (2021.3) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pandas) (2.8.2) Requirement already satisfied: dataclasses>=0.6 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pydantic) (0.8) Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pydantic) (4.1.1) Requirement already satisfied: pyparsing in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from rdflib) (3.0.7) PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g0] Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: six in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from rdflib) (1.16.0) Requirement already satisfied: torch>=1.6.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (1.9.0+cu102) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (4.62.3) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (1.26.8) Requirement already satisfied: outdated>=0.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (0.2.1) Requirement already satisfied: scikit-learn>=0.20.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (0.24.2) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from importlib-metadata>=0.12->pytest) (3.6.0) Requirement already satisfied: requests in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (2.27.1) Requirement already satisfied: littleutils in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (0.2.2) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (3.1.0) Requirement already satisfied: scipy>=0.19.1 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.5.4) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2021.5.30) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2.0.12) PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] Installing collected packages: isodate, rdflib, pyyaml, pydantic, psutil PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] Successfully installed isodate-0.6.1 psutil-5.9.1 pydantic-1.9.1 pyyaml-6.0 rdflib-5.0.0 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] ============================= test session starts ============================== platform linux -- Python 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4085 collecting ... 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] PASSED [ 24%] 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] collected 2425 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] 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tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype1] PASSED [ 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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype1] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes SKIPPED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_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 [ 4%] 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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] 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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] FAILED [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 5%] tests/compute/test_data.py::test_explain_syn PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g0] PASSED [ 5%] tests/compute/test_data.py::test_wiki_cs PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] PASSED [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 5%] tests/compute/test_data.py::test_extract_archive PASSED [ 5%] tests/compute/test_data.py::test_csvdataset PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 5%] tests/compute/test_data.py::test_add_nodepred_split PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 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 PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] PASSED [ 30%] 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 [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] PASSED [ 5%] tests/compute/test_data.py::test_explain_syn PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] PASSED [ 5%] tests/compute/test_data.py::test_wiki_cs PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 5%]PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 5%] tests/compute/test_data.py::test_extract_archive PASSED [ 5%] tests/compute/test_data.py::test_csvdataset PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 5%] tests/compute/test_data.py::test_add_nodepred_split PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred1 PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred2 PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] FAILED [ 5%] tests/compute/test_data.py::test_as_linkpred PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g1] PASSED [ 39%] 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] FAILED [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] 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 [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess PASSED [ 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[int32-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int32-dst-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-dst-g0] SKIPPED [ 6%] tests/compute/test_ffi.py::test_cython PASSED [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[int32] SKIPPED (CPU ...) [ 6%] tests/compute/test_filter.py::test_array_filter[int64] SKIPPED (CPU ...) 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[ 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 [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-int64] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[int32] SKIPPED (...) [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[int64] SKIPPED (...) [ 8%] tests/compute/test_heterograph.py::test_convert_bound[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[int32] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g0] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[int32] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[int64] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_subgraph[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[int32] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g0] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[int64] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g0] PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[int32] SKIPPED (Nee...) [ 8%] tests/compute/test_heterograph.py::test_more_nnz[int64] SKIPPED (Nee...) [ 9%] tests/compute/test_heterograph.py::test_updates[int32] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[int64] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[int64] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_float_cast PASSED [ 9%] tests/compute/test_heterograph.py::test_format[int32] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_reverse[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[int64] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[int32] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[int64] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[int32] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_frame_device[int64] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_create_block[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler SKIPPED (MXN...) [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g0] FAILED [ 5%] tests/compute/test_data.py::test_as_linkpred SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb 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 [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g1] PASSED [ 44%] 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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 [ 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_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 [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-int64] PASSED [ 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 [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-int32] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-int64] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_batched_heterograph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_subgraph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[int32] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[int64] SKIPPED [ 13%] tests/compute/test_pin_memory.py::test_pin_unpin SKIPPED (Need gpu f...) [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[int32] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[int64] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[int32] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[int64] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g0] PASSED [ 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g0] PASSED [ 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 [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-int64] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-int64] PASSED [ 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 [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-int32] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-int64] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-int32] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-int64] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-int32] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-int64] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-int32] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-int32] PASSED [ 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 [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-int32] PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-int64] PASSED [ 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 [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-int64] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int32] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int64] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g1] 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 [ 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 [ 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 [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-int32] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g4-int64] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-int32] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-int64] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-int32] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-int64] PASSED [ 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 [ 18%] tests/compute/test_readout.py::test_softmax[g5-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-int64] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[int64] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g1] 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 [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g0] PASSED [ 58%] 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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 [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g1] PASSED [ 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 [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g1] PASSED [ 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 [ 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 [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g0] PASSED [ 63%] 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 [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb 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%] 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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 [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] PASSED [ 65%] 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 [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g0] PASSED [ 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 [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk PASSED [ 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[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 PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous PASSED [ 20%] 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 [ 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_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 [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_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 [ 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 [ 22%] tests/compute/test_shared_mem.py::test_multi_process[int64] 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 [ 22%] tests/compute/test_sort.py::test_sort_with_tag[int64] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g1] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[int32] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[int64] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g0] PASSED [ 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 [ 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 [ 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 [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp1-g1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp2-g1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp3-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g0] PASSED [ 22%] 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 [ 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 [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp5-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp0-g1] PASSED [ 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 [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-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 [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp5-g1] PASSED [ 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 [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g0] PASSED [ 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 [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp5-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g1] PASSED [ 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 [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g0] PASSED [ 24%] 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 [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp3-g1] PASSED [ 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 [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp2-g1] 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 [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp5-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g0] FAILED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype0] PASSED [ 6%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] 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_generators.py::test_rand_graph PASSED [ 6%] tests/compute/test_graph.py::test_query PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 6%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 6%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 6%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype0] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype1] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype0] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] SKIPPED (N...) [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] 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 [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_reverse[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype0] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype1] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins PASSED [ 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 [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g1] PASSED [ 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_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 [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g1] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] PASSED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] SKIPPED [ 11%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp2-g1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype0] PASSED [ 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 [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g0] PASSED [ 71%] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype1] PASSED [ 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 [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype1] PASSED [ 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 [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp5-g1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 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%] 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PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype0] PASSED [ 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 [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 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 [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 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 [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g1] 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 [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g0] 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 [ 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 [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-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 [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp5-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp0-g1] PASSED [ 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 [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp1-g0] 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 [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] 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 [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g0] PASSED [ 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 [ 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 [ 74%] 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[ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp5-g1] PASSED [ 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%] 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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 [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] PASSED [ 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 [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] PASSED [ 40%] 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PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 67%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp5-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] 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 [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g0] PASSED [ 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%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g0] PASSED [ 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%]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_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] PASSED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] 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-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g1] PASSED [ 84%] 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 [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 86%] 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%]SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype0] SKIPPED [ 12%] 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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%] 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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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype1] PASSED [ 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 [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] PASSED [ 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 [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype0] PASSED [ 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 [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] 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 [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype0] PASSED [ 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 [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 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%]PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp4-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 [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 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 [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype0] PASSED [ 94%]PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] 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%]PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp3-g1] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp4-g1] PASSED [ 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 [ 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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp5-g1] PASSED [ 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 [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp0-g1] PASSED [ 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 [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp1-g1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device1] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected PASSED [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_adj PASSED [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max PASSED [ 96%] tests/compute/test_transform.py::test_partition_with_halo PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp4-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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp5-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp2-g0] PASSED [ 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 [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp4-g1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_nodes PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp5-g1] PASSED [ 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 [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp1-g0] PASSED [ 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 [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp2-g0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] =================================== FAILURES =================================== _____________________________ test_as_nodepred_ogb _____________________________ self = http_class = req = , http_conn_args = {} host = 'snap.stanford.edu' h = def do_open(self, http_class, req, **http_conn_args): """Return an HTTPResponse object for the request, using http_class. http_class must implement the HTTPConnection API from http.client. """ host = req.host if not host: raise URLError('no host given') # will parse host:port h = http_class(host, timeout=req.timeout, **http_conn_args) h.set_debuglevel(self._debuglevel) headers = dict(req.unredirected_hdrs) headers.update(dict((k, v) for k, v in req.headers.items() if k not in headers)) # TODO(jhylton): Should this be redesigned to handle # persistent connections? # We want to make an HTTP/1.1 request, but the addinfourl # class isn't prepared to deal with a persistent connection. # It will try to read all remaining data from the socket, # which will block while the server waits for the next request. # So make sure the connection gets closed after the (only) # request. headers["Connection"] = "close" headers = dict((name.title(), val) for name, val in headers.items()) if req._tunnel_host: tunnel_headers = {} proxy_auth_hdr = "Proxy-Authorization" if proxy_auth_hdr in headers: tunnel_headers[proxy_auth_hdr] = headers[proxy_auth_hdr] # Proxy-Authorization should not be sent to origin # server. del headers[proxy_auth_hdr] h.set_tunnel(req._tunnel_host, headers=tunnel_headers) try: try: h.request(req.get_method(), req.selector, req.data, headers, > encode_chunked=req.has_header('Transfer-encoding')) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:1318: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , method = 'GET' url = '/ogb/data/nodeproppred/arxiv.zip', body = None headers = {'Connection': 'close', 'Host': 'snap.stanford.edu', 'User-Agent': 'Python-urllib/3.6'} def request(self, method, url, body=None, headers={}, *, encode_chunked=False): """Send a complete request to the server.""" > self._send_request(method, url, body, headers, encode_chunked) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:1254: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , method = 'GET' url = '/ogb/data/nodeproppred/arxiv.zip', body = None headers = {'Connection': 'close', 'Host': 'snap.stanford.edu', 'User-Agent': 'Python-urllib/3.6'} encode_chunked = False def _send_request(self, method, url, body, headers, encode_chunked): # Honor explicitly requested Host: and Accept-Encoding: headers. header_names = frozenset(k.lower() for k in headers) skips = {} if 'host' in header_names: skips['skip_host'] = 1 if 'accept-encoding' in header_names: skips['skip_accept_encoding'] = 1 self.putrequest(method, url, **skips) # chunked encoding will happen if HTTP/1.1 is used and either # the caller passes encode_chunked=True or the following # conditions hold: # 1. content-length has not been explicitly set # 2. the body is a file or iterable, but not a str or bytes-like # 3. Transfer-Encoding has NOT been explicitly set by the caller if 'content-length' not in header_names: # only chunk body if not explicitly set for backwards # compatibility, assuming the client code is already handling the # chunking if 'transfer-encoding' not in header_names: # if content-length cannot be automatically determined, fall # back to chunked encoding encode_chunked = False content_length = self._get_content_length(body, method) if content_length is None: if body is not None: if self.debuglevel > 0: print('Unable to determine size of %r' % body) encode_chunked = True self.putheader('Transfer-Encoding', 'chunked') else: self.putheader('Content-Length', str(content_length)) else: encode_chunked = False for hdr, value in headers.items(): self.putheader(hdr, value) if isinstance(body, str): # RFC 2616 Section 3.7.1 says that text default has a # default charset of iso-8859-1. body = _encode(body, 'body') > self.endheaders(body, encode_chunked=encode_chunked) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:1300: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = message_body = None def endheaders(self, message_body=None, *, encode_chunked=False): """Indicate that the last header line has been sent to the server. This method sends the request to the server. The optional message_body argument can be used to pass a message body associated with the request. """ if self.__state == _CS_REQ_STARTED: self.__state = _CS_REQ_SENT else: raise CannotSendHeader() > self._send_output(message_body, encode_chunked=encode_chunked) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:1249: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = message_body = None, encode_chunked = False def _send_output(self, message_body=None, encode_chunked=False): """Send the currently buffered request and clear the buffer. Appends an extra \\r\\n to the buffer. A message_body may be specified, to be appended to the request. """ self._buffer.extend((b"", b"")) msg = b"\r\n".join(self._buffer) del self._buffer[:] > self.send(msg) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:1036: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = data = b'GET /ogb/data/nodeproppred/arxiv.zip HTTP/1.1\r\nAccept-Encoding: identity\r\nHost: snap.stanford.edu\r\nUser-Agent: Python-urllib/3.6\r\nConnection: close\r\n\r\n' def send(self, data): """Send `data' to the server. ``data`` can be a string object, a bytes object, an array object, a file-like object that supports a .read() method, or an iterable object. """ if self.sock is None: if self.auto_open: > self.connect() /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:974: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = def connect(self): """Connect to the host and port specified in __init__.""" self.sock = self._create_connection( > (self.host,self.port), self.timeout, self.source_address) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:946: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ address = ('snap.stanford.edu', 80), timeout = source_address = None def create_connection(address, timeout=_GLOBAL_DEFAULT_TIMEOUT, source_address=None): """Connect to *address* and return the socket object. Convenience function. Connect to *address* (a 2-tuple ``(host, port)``) and return the socket object. Passing the optional *timeout* parameter will set the timeout on the socket instance before attempting to connect. If no *timeout* is supplied, the global default timeout setting returned by :func:`getdefaulttimeout` is used. If *source_address* is set it must be a tuple of (host, port) for the socket to bind as a source address before making the connection. A host of '' or port 0 tells the OS to use the default. """ host, port = address err = None for res in getaddrinfo(host, port, 0, SOCK_STREAM): af, socktype, proto, canonname, sa = res sock = None try: sock = socket(af, socktype, proto) if timeout is not _GLOBAL_DEFAULT_TIMEOUT: sock.settimeout(timeout) if source_address: sock.bind(source_address) sock.connect(sa) # Break explicitly a reference cycle err = None return sock except error as _: err = _ if sock is not None: sock.close() if err is not None: > raise err /opt/conda/envs/pytorch-ci/lib/python3.6/socket.py:724: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ address = ('snap.stanford.edu', 80), timeout = source_address = None def create_connection(address, timeout=_GLOBAL_DEFAULT_TIMEOUT, source_address=None): """Connect to *address* and return the socket object. Convenience function. Connect to *address* (a 2-tuple ``(host, port)``) and return the socket object. Passing the optional *timeout* parameter will set the timeout on the socket instance before attempting to connect. If no *timeout* is supplied, the global default timeout setting returned by :func:`getdefaulttimeout` is used. If *source_address* is set it must be a tuple of (host, port) for the socket to bind as a source address before making the connection. A host of '' or port 0 tells the OS to use the default. """ host, port = address err = None for res in getaddrinfo(host, port, 0, SOCK_STREAM): af, socktype, proto, canonname, sa = res sock = None try: sock = socket(af, socktype, proto) if timeout is not _GLOBAL_DEFAULT_TIMEOUT: sock.settimeout(timeout) if source_address: sock.bind(source_address) > sock.connect(sa) E TimeoutError: [Errno 110] Connection timed out /opt/conda/envs/pytorch-ci/lib/python3.6/socket.py:713: TimeoutError During handling of the above exception, another exception occurred: @unittest.skipIf(dgl.backend.backend_name != 'pytorch', reason="ogb only supports pytorch") def test_as_nodepred_ogb(): from ogb.nodeproppred import DglNodePropPredDataset > ds = data.AsNodePredDataset(DglNodePropPredDataset("ogbn-arxiv"), split_ratio=None, verbose=True) tests/compute/test_data.py:1349: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/ogb/nodeproppred/dataset_dgl.py:69: in __init__ self.pre_process() /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/ogb/nodeproppred/dataset_dgl.py:98: in pre_process if decide_download(url): /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/ogb/utils/url.py:12: in decide_download d = ur.urlopen(url) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:223: in urlopen return opener.open(url, data, timeout) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:526: in open response = self._open(req, data) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:544: in _open '_open', req) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:504: in _call_chain result = func(*args) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:1346: in http_open return self.do_open(http.client.HTTPConnection, req) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = http_class = req = , http_conn_args = {} host = 'snap.stanford.edu' h = def do_open(self, http_class, req, **http_conn_args): """Return an HTTPResponse object for the request, using http_class. http_class must implement the HTTPConnection API from http.client. """ host = req.host if not host: raise URLError('no host given') # will parse host:port h = http_class(host, timeout=req.timeout, **http_conn_args) h.set_debuglevel(self._debuglevel) headers = dict(req.unredirected_hdrs) headers.update(dict((k, v) for k, v in req.headers.items() if k not in headers)) # TODO(jhylton): Should this be redesigned to handle # persistent connections? # We want to make an HTTP/1.1 request, but the addinfourl # class isn't prepared to deal with a persistent connection. # It will try to read all remaining data from the socket, # which will block while the server waits for the next request. # So make sure the connection gets closed after the (only) # request. headers["Connection"] = "close" headers = dict((name.title(), val) for name, val in headers.items()) if req._tunnel_host: tunnel_headers = {} proxy_auth_hdr = "Proxy-Authorization" if proxy_auth_hdr in headers: tunnel_headers[proxy_auth_hdr] = headers[proxy_auth_hdr] # Proxy-Authorization should not be sent to origin # server. del headers[proxy_auth_hdr] h.set_tunnel(req._tunnel_host, headers=tunnel_headers) try: try: h.request(req.get_method(), req.selector, req.data, headers, encode_chunked=req.has_header('Transfer-encoding')) except OSError as err: # timeout error > raise URLError(err) E urllib.error.URLError: /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:1320: URLError ------------------------------ Captured log call ------------------------------- WARNING root:version.py:19 The OGB package is out of date. Your version is 1.3.2, while the latest version is 1.3.3. _____________________________ test_as_linkpred_ogb _____________________________ self = http_class = req = , http_conn_args = {} host = 'snap.stanford.edu' h = def do_open(self, http_class, req, **http_conn_args): """Return an HTTPResponse object for the request, using http_class. http_class must implement the HTTPConnection API from http.client. """ host = req.host if not host: raise URLError('no host given') # will parse host:port h = http_class(host, timeout=req.timeout, **http_conn_args) h.set_debuglevel(self._debuglevel) headers = dict(req.unredirected_hdrs) headers.update(dict((k, v) for k, v in req.headers.items() if k not in headers)) # TODO(jhylton): Should this be redesigned to handle # persistent connections? # We want to make an HTTP/1.1 request, but the addinfourl # class isn't prepared to deal with a persistent connection. # It will try to read all remaining data from the socket, # which will block while the server waits for the next request. # So make sure the connection gets closed after the (only) # request. headers["Connection"] = "close" headers = dict((name.title(), val) for name, val in headers.items()) if req._tunnel_host: tunnel_headers = {} proxy_auth_hdr = "Proxy-Authorization" if proxy_auth_hdr in headers: tunnel_headers[proxy_auth_hdr] = headers[proxy_auth_hdr] # Proxy-Authorization should not be sent to origin # server. del headers[proxy_auth_hdr] h.set_tunnel(req._tunnel_host, headers=tunnel_headers) try: try: h.request(req.get_method(), req.selector, req.data, headers, > encode_chunked=req.has_header('Transfer-encoding')) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:1318: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , method = 'GET' url = '/ogb/data/linkproppred/collab.zip', body = None headers = {'Connection': 'close', 'Host': 'snap.stanford.edu', 'User-Agent': 'Python-urllib/3.6'} def request(self, method, url, body=None, headers={}, *, encode_chunked=False): """Send a complete request to the server.""" > self._send_request(method, url, body, headers, encode_chunked) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:1254: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , method = 'GET' url = '/ogb/data/linkproppred/collab.zip', body = None headers = {'Connection': 'close', 'Host': 'snap.stanford.edu', 'User-Agent': 'Python-urllib/3.6'} encode_chunked = False def _send_request(self, method, url, body, headers, encode_chunked): # Honor explicitly requested Host: and Accept-Encoding: headers. header_names = frozenset(k.lower() for k in headers) skips = {} if 'host' in header_names: skips['skip_host'] = 1 if 'accept-encoding' in header_names: skips['skip_accept_encoding'] = 1 self.putrequest(method, url, **skips) # chunked encoding will happen if HTTP/1.1 is used and either # the caller passes encode_chunked=True or the following # conditions hold: # 1. content-length has not been explicitly set # 2. the body is a file or iterable, but not a str or bytes-like # 3. Transfer-Encoding has NOT been explicitly set by the caller if 'content-length' not in header_names: # only chunk body if not explicitly set for backwards # compatibility, assuming the client code is already handling the # chunking if 'transfer-encoding' not in header_names: # if content-length cannot be automatically determined, fall # back to chunked encoding encode_chunked = False content_length = self._get_content_length(body, method) if content_length is None: if body is not None: if self.debuglevel > 0: print('Unable to determine size of %r' % body) encode_chunked = True self.putheader('Transfer-Encoding', 'chunked') else: self.putheader('Content-Length', str(content_length)) else: encode_chunked = False for hdr, value in headers.items(): self.putheader(hdr, value) if isinstance(body, str): # RFC 2616 Section 3.7.1 says that text default has a # default charset of iso-8859-1. body = _encode(body, 'body') > self.endheaders(body, encode_chunked=encode_chunked) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:1300: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = message_body = None def endheaders(self, message_body=None, *, encode_chunked=False): """Indicate that the last header line has been sent to the server. This method sends the request to the server. The optional message_body argument can be used to pass a message body associated with the request. """ if self.__state == _CS_REQ_STARTED: self.__state = _CS_REQ_SENT else: raise CannotSendHeader() > self._send_output(message_body, encode_chunked=encode_chunked) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:1249: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = message_body = None, encode_chunked = False def _send_output(self, message_body=None, encode_chunked=False): """Send the currently buffered request and clear the buffer. Appends an extra \\r\\n to the buffer. A message_body may be specified, to be appended to the request. """ self._buffer.extend((b"", b"")) msg = b"\r\n".join(self._buffer) del self._buffer[:] > self.send(msg) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:1036: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = data = b'GET /ogb/data/linkproppred/collab.zip HTTP/1.1\r\nAccept-Encoding: identity\r\nHost: snap.stanford.edu\r\nUser-Agent: Python-urllib/3.6\r\nConnection: close\r\n\r\n' def send(self, data): """Send `data' to the server. ``data`` can be a string object, a bytes object, an array object, a file-like object that supports a .read() method, or an iterable object. """ if self.sock is None: if self.auto_open: > self.connect() /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:974: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = def connect(self): """Connect to the host and port specified in __init__.""" self.sock = self._create_connection( > (self.host,self.port), self.timeout, self.source_address) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:946: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ address = ('snap.stanford.edu', 80), timeout = source_address = None def create_connection(address, timeout=_GLOBAL_DEFAULT_TIMEOUT, source_address=None): """Connect to *address* and return the socket object. Convenience function. Connect to *address* (a 2-tuple ``(host, port)``) and return the socket object. Passing the optional *timeout* parameter will set the timeout on the socket instance before attempting to connect. If no *timeout* is supplied, the global default timeout setting returned by :func:`getdefaulttimeout` is used. If *source_address* is set it must be a tuple of (host, port) for the socket to bind as a source address before making the connection. A host of '' or port 0 tells the OS to use the default. """ host, port = address err = None for res in getaddrinfo(host, port, 0, SOCK_STREAM): af, socktype, proto, canonname, sa = res sock = None try: sock = socket(af, socktype, proto) if timeout is not _GLOBAL_DEFAULT_TIMEOUT: sock.settimeout(timeout) if source_address: sock.bind(source_address) sock.connect(sa) # Break explicitly a reference cycle err = None return sock except error as _: err = _ if sock is not None: sock.close() if err is not None: > raise err /opt/conda/envs/pytorch-ci/lib/python3.6/socket.py:724: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ address = ('snap.stanford.edu', 80), timeout = source_address = None def create_connection(address, timeout=_GLOBAL_DEFAULT_TIMEOUT, source_address=None): """Connect to *address* and return the socket object. Convenience function. Connect to *address* (a 2-tuple ``(host, port)``) and return the socket object. Passing the optional *timeout* parameter will set the timeout on the socket instance before attempting to connect. If no *timeout* is supplied, the global default timeout setting returned by :func:`getdefaulttimeout` is used. If *source_address* is set it must be a tuple of (host, port) for the socket to bind as a source address before making the connection. A host of '' or port 0 tells the OS to use the default. """ host, port = address err = None for res in getaddrinfo(host, port, 0, SOCK_STREAM): af, socktype, proto, canonname, sa = res sock = None try: sock = socket(af, socktype, proto) if timeout is not _GLOBAL_DEFAULT_TIMEOUT: sock.settimeout(timeout) if source_address: sock.bind(source_address) > sock.connect(sa) E TimeoutError: [Errno 110] Connection timed out /opt/conda/envs/pytorch-ci/lib/python3.6/socket.py:713: TimeoutError During handling of the above exception, another exception occurred: @unittest.skipIf(dgl.backend.backend_name != 'pytorch', reason="ogb only supports pytorch") def test_as_linkpred_ogb(): from ogb.linkproppred import DglLinkPropPredDataset > ds = data.AsLinkPredDataset(DglLinkPropPredDataset("ogbl-collab"), split_ratio=None, verbose=True) tests/compute/test_data.py:1376: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/ogb/linkproppred/dataset_dgl.py:68: in __init__ self.pre_process() /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/ogb/linkproppred/dataset_dgl.py:91: in pre_process if decide_download(url): /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/ogb/utils/url.py:12: in decide_download d = ur.urlopen(url) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:223: in urlopen return opener.open(url, data, timeout) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:526: in open response = self._open(req, data) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:544: in _open '_open', req) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:504: in _call_chain result = func(*args) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:1346: in http_open return self.do_open(http.client.HTTPConnection, req) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = http_class = req = , http_conn_args = {} host = 'snap.stanford.edu' h = def do_open(self, http_class, req, **http_conn_args): """Return an HTTPResponse object for the request, using http_class. http_class must implement the HTTPConnection API from http.client. """ host = req.host if not host: raise URLError('no host given') # will parse host:port h = http_class(host, timeout=req.timeout, **http_conn_args) h.set_debuglevel(self._debuglevel) headers = dict(req.unredirected_hdrs) headers.update(dict((k, v) for k, v in req.headers.items() if k not in headers)) # TODO(jhylton): Should this be redesigned to handle # persistent connections? # We want to make an HTTP/1.1 request, but the addinfourl # class isn't prepared to deal with a persistent connection. # It will try to read all remaining data from the socket, # which will block while the server waits for the next request. # So make sure the connection gets closed after the (only) # request. headers["Connection"] = "close" headers = dict((name.title(), val) for name, val in headers.items()) if req._tunnel_host: tunnel_headers = {} proxy_auth_hdr = "Proxy-Authorization" if proxy_auth_hdr in headers: tunnel_headers[proxy_auth_hdr] = headers[proxy_auth_hdr] # Proxy-Authorization should not be sent to origin # server. del headers[proxy_auth_hdr] h.set_tunnel(req._tunnel_host, headers=tunnel_headers) try: try: h.request(req.get_method(), req.selector, req.data, headers, encode_chunked=req.has_header('Transfer-encoding')) except OSError as err: # timeout error > raise URLError(err) E urllib.error.URLError: /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:1320: URLError ____________________________ test_as_graphpred_ogb _____________________________ self = http_class = req = , http_conn_args = {} host = 'snap.stanford.edu' h = def do_open(self, http_class, req, **http_conn_args): """Return an HTTPResponse object for the request, using http_class. http_class must implement the HTTPConnection API from http.client. """ host = req.host if not host: raise URLError('no host given') # will parse host:port h = http_class(host, timeout=req.timeout, **http_conn_args) h.set_debuglevel(self._debuglevel) headers = dict(req.unredirected_hdrs) headers.update(dict((k, v) for k, v in req.headers.items() if k not in headers)) # TODO(jhylton): Should this be redesigned to handle # persistent connections? # We want to make an HTTP/1.1 request, but the addinfourl # class isn't prepared to deal with a persistent connection. # It will try to read all remaining data from the socket, # which will block while the server waits for the next request. # So make sure the connection gets closed after the (only) # request. headers["Connection"] = "close" headers = dict((name.title(), val) for name, val in headers.items()) if req._tunnel_host: tunnel_headers = {} proxy_auth_hdr = "Proxy-Authorization" if proxy_auth_hdr in headers: tunnel_headers[proxy_auth_hdr] = headers[proxy_auth_hdr] # Proxy-Authorization should not be sent to origin # server. del headers[proxy_auth_hdr] h.set_tunnel(req._tunnel_host, headers=tunnel_headers) try: try: h.request(req.get_method(), req.selector, req.data, headers, > encode_chunked=req.has_header('Transfer-encoding')) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:1318: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , method = 'GET' url = '/ogb/data/graphproppred/csv_mol_download/hiv.zip', body = None headers = {'Connection': 'close', 'Host': 'snap.stanford.edu', 'User-Agent': 'Python-urllib/3.6'} def request(self, method, url, body=None, headers={}, *, encode_chunked=False): """Send a complete request to the server.""" > self._send_request(method, url, body, headers, encode_chunked) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:1254: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , method = 'GET' url = '/ogb/data/graphproppred/csv_mol_download/hiv.zip', body = None headers = {'Connection': 'close', 'Host': 'snap.stanford.edu', 'User-Agent': 'Python-urllib/3.6'} encode_chunked = False def _send_request(self, method, url, body, headers, encode_chunked): # Honor explicitly requested Host: and Accept-Encoding: headers. header_names = frozenset(k.lower() for k in headers) skips = {} if 'host' in header_names: skips['skip_host'] = 1 if 'accept-encoding' in header_names: skips['skip_accept_encoding'] = 1 self.putrequest(method, url, **skips) # chunked encoding will happen if HTTP/1.1 is used and either # the caller passes encode_chunked=True or the following # conditions hold: # 1. content-length has not been explicitly set # 2. the body is a file or iterable, but not a str or bytes-like # 3. Transfer-Encoding has NOT been explicitly set by the caller if 'content-length' not in header_names: # only chunk body if not explicitly set for backwards # compatibility, assuming the client code is already handling the # chunking if 'transfer-encoding' not in header_names: # if content-length cannot be automatically determined, fall # back to chunked encoding encode_chunked = False content_length = self._get_content_length(body, method) if content_length is None: if body is not None: if self.debuglevel > 0: print('Unable to determine size of %r' % body) encode_chunked = True self.putheader('Transfer-Encoding', 'chunked') else: self.putheader('Content-Length', str(content_length)) else: encode_chunked = False for hdr, value in headers.items(): self.putheader(hdr, value) if isinstance(body, str): # RFC 2616 Section 3.7.1 says that text default has a # default charset of iso-8859-1. body = _encode(body, 'body') > self.endheaders(body, encode_chunked=encode_chunked) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:1300: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = message_body = None def endheaders(self, message_body=None, *, encode_chunked=False): """Indicate that the last header line has been sent to the server. This method sends the request to the server. The optional message_body argument can be used to pass a message body associated with the request. """ if self.__state == _CS_REQ_STARTED: self.__state = _CS_REQ_SENT else: raise CannotSendHeader() > self._send_output(message_body, encode_chunked=encode_chunked) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:1249: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = message_body = None, encode_chunked = False def _send_output(self, message_body=None, encode_chunked=False): """Send the currently buffered request and clear the buffer. Appends an extra \\r\\n to the buffer. A message_body may be specified, to be appended to the request. """ self._buffer.extend((b"", b"")) msg = b"\r\n".join(self._buffer) del self._buffer[:] > self.send(msg) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:1036: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = data = b'GET /ogb/data/graphproppred/csv_mol_download/hiv.zip HTTP/1.1\r\nAccept-Encoding: identity\r\nHost: snap.stanford.edu\r\nUser-Agent: Python-urllib/3.6\r\nConnection: close\r\n\r\n' def send(self, data): """Send `data' to the server. ``data`` can be a string object, a bytes object, an array object, a file-like object that supports a .read() method, or an iterable object. """ if self.sock is None: if self.auto_open: > self.connect() /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:974: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = def connect(self): """Connect to the host and port specified in __init__.""" self.sock = self._create_connection( > (self.host,self.port), self.timeout, self.source_address) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:946: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ address = ('snap.stanford.edu', 80), timeout = source_address = None def create_connection(address, timeout=_GLOBAL_DEFAULT_TIMEOUT, source_address=None): """Connect to *address* and return the socket object. Convenience function. Connect to *address* (a 2-tuple ``(host, port)``) and return the socket object. Passing the optional *timeout* parameter will set the timeout on the socket instance before attempting to connect. If no *timeout* is supplied, the global default timeout setting returned by :func:`getdefaulttimeout` is used. If *source_address* is set it must be a tuple of (host, port) for the socket to bind as a source address before making the connection. A host of '' or port 0 tells the OS to use the default. """ host, port = address err = None for res in getaddrinfo(host, port, 0, SOCK_STREAM): af, socktype, proto, canonname, sa = res sock = None try: sock = socket(af, socktype, proto) if timeout is not _GLOBAL_DEFAULT_TIMEOUT: sock.settimeout(timeout) if source_address: sock.bind(source_address) sock.connect(sa) # Break explicitly a reference cycle err = None return sock except error as _: err = _ if sock is not None: sock.close() if err is not None: > raise err /opt/conda/envs/pytorch-ci/lib/python3.6/socket.py:724: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ address = ('snap.stanford.edu', 80), timeout = source_address = None def create_connection(address, timeout=_GLOBAL_DEFAULT_TIMEOUT, source_address=None): """Connect to *address* and return the socket object. Convenience function. Connect to *address* (a 2-tuple ``(host, port)``) and return the socket object. Passing the optional *timeout* parameter will set the timeout on the socket instance before attempting to connect. If no *timeout* is supplied, the global default timeout setting returned by :func:`getdefaulttimeout` is used. If *source_address* is set it must be a tuple of (host, port) for the socket to bind as a source address before making the connection. A host of '' or port 0 tells the OS to use the default. """ host, port = address err = None for res in getaddrinfo(host, port, 0, SOCK_STREAM): af, socktype, proto, canonname, sa = res sock = None try: sock = socket(af, socktype, proto) if timeout is not _GLOBAL_DEFAULT_TIMEOUT: sock.settimeout(timeout) if source_address: sock.bind(source_address) > sock.connect(sa) E TimeoutError: [Errno 110] Connection timed out /opt/conda/envs/pytorch-ci/lib/python3.6/socket.py:713: TimeoutError During handling of the above exception, another exception occurred: @unittest.skipIf(dgl.backend.backend_name != 'pytorch', reason="ogb only supports pytorch") def test_as_graphpred_ogb(): from ogb.graphproppred import DglGraphPropPredDataset > ds = data.AsGraphPredDataset(DglGraphPropPredDataset('ogbg-molhiv'), split_ratio=None, verbose=True) tests/compute/test_data.py:1552: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/ogb/graphproppred/dataset_dgl.py:68: in __init__ self.pre_process() /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/ogb/graphproppred/dataset_dgl.py:100: in pre_process if decide_download(url): /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/ogb/utils/url.py:12: in decide_download d = ur.urlopen(url) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:223: in urlopen return opener.open(url, data, timeout) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:526: in open response = self._open(req, data) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:544: in _open '_open', req) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:504: in _call_chain result = func(*args) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:1346: in http_open return self.do_open(http.client.HTTPConnection, req) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = http_class = req = , http_conn_args = {} host = 'snap.stanford.edu' h = def do_open(self, http_class, req, **http_conn_args): """Return an HTTPResponse object for the request, using http_class. http_class must implement the HTTPConnection API from http.client. """ host = req.host if not host: raise URLError('no host given') # will parse host:port h = http_class(host, timeout=req.timeout, **http_conn_args) h.set_debuglevel(self._debuglevel) headers = dict(req.unredirected_hdrs) headers.update(dict((k, v) for k, v in req.headers.items() if k not in headers)) # TODO(jhylton): Should this be redesigned to handle # persistent connections? # We want to make an HTTP/1.1 request, but the addinfourl # class isn't prepared to deal with a persistent connection. # It will try to read all remaining data from the socket, # which will block while the server waits for the next request. # So make sure the connection gets closed after the (only) # request. headers["Connection"] = "close" headers = dict((name.title(), val) for name, val in headers.items()) if req._tunnel_host: tunnel_headers = {} proxy_auth_hdr = "Proxy-Authorization" if proxy_auth_hdr in headers: tunnel_headers[proxy_auth_hdr] = headers[proxy_auth_hdr] # Proxy-Authorization should not be sent to origin # server. del headers[proxy_auth_hdr] h.set_tunnel(req._tunnel_host, headers=tunnel_headers) try: try: h.request(req.get_method(), req.selector, req.data, headers, encode_chunked=req.has_header('Transfer-encoding')) except OSError as err: # timeout error > raise URLError(err) E urllib.error.URLError: /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:1320: URLError =============================== warnings summary =============================== python/dgl/backend/backend.py:1741 /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/backend/backend.py:1741: DeprecationWarning: invalid escape sequence \P """ tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_serialize.py: 3 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 10 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py: 2 warnings tests/compute/test_batched_graph.py: 10 warnings tests/compute/test_graph.py: 2 warnings tests/compute/test_kernel.py: 1 warning tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 10 warnings tests/compute/test_specialization.py: 10 warnings tests/compute/test_subgraph.py: 2 warnings /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/heterograph.py:354: DGLWarning: DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges dgl_warning("DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges") tests/compute/test_basics.py::test_update_all_0deg[idtype0] tests/compute/test_basics.py::test_update_all_0deg[idtype1] tests/compute/test_basics.py::test_pull_0deg[idtype0] tests/compute/test_basics.py::test_pull_0deg[idtype1] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/core.py:79: DGLWarning: The input graph for the user-defined edge function does not contain valid edges dgl_warning('The input graph for the user-defined edge function ' \ tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_transform.py::test_no_backtracking tests/compute/test_transform.py::test_reverse[idtype0] tests/compute/test_transform.py::test_reverse[idtype1] /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/heterograph.py:2978: DGLWarning: DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids. dgl_warning("DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids.") tests/compute/test_batched_heterograph.py::test_features[idtype0] tests/compute/test_batched_heterograph.py::test_features[idtype1] /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/batch.py:159: DGLWarning: Arguments edge_attrs has been deprecated. Please use edata instead. dgl_warning('Arguments edge_attrs has been deprecated. Please use' tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/heterograph_index.py:777: FutureWarning: Adjacency matrix by default currently returns edge IDs. As a result there is one 0 entry which is not eliminated. In the next release it will return 1s by default, and 0 will be eliminated otherwise. FutureWarning) tests/compute/test_data.py: 213 warnings /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/networkx/utils/misc.py:34: DeprecationWarning: is_string_like is deprecated and will be removed in 3.0.Use isinstance(obj, str) instead. warnings.warn(msg, DeprecationWarning) tests/compute/test_data.py::test_citation_graph /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/data/citation_graph.py:291: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/numpy/lib/arraysetops.py:576: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison mask &= (ar1 != a) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/data/csv_dataset_base.py:298: DGLWarning: Unamed column is found. Ignored... dgl_warning("Unamed column is found. Ignored...") tests/compute/test_data.py::test_as_nodepred_ogb /opt/conda/envs/pytorch-ci/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject return f(*args, **kwds) tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_heterograph.py::test_query[idtype0] tests/compute/test_heterograph.py::test_query[idtype1] /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/heterograph.py:2753: DGLWarning: DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes dgl_warning("DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/heterograph.py:2687: DGLWarning: DGLGraph.__contains__ is deprecated. Please directly call has_nodes. dgl_warning('DGLGraph.__contains__ is deprecated.' tests/compute/test_graph.py::test_query tests/compute/test_sampling.py::test_non_uniform_random_walk 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-4085@3/python/dgl/heterograph.py:2851: DGLWarning: DGLGraph.has_edge_between is deprecated. Please use DGLGraph.has_edges_between dgl_warning("DGLGraph.has_edge_between is deprecated. " tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/heterograph.py:3432: DGLWarning: DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees dgl_warning("DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/heterograph.py:3516: DGLWarning: DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees dgl_warning("DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees") tests/compute/test_graph.py::test_query /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4085@3/tests/compute/test_heterograph.py:1110: 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-4085@3/tests/compute/test_heterograph.py:1111: 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-4085@3/python/dgl/heterograph.py:2635: DGLWarning: DGLGraph.is_readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.is_readonly is deprecated in v0.5.\n' tests/compute/test_heterograph.py::test_types_in_function[idtype0] tests/compute/test_heterograph.py::test_types_in_function[idtype1] /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/backend/pytorch/tensor.py:279: 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-4085@3/python/dgl/backend/pytorch/tensor.py:575: 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-4085@3/python/dgl/batch.py:511: DGLWarning: From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely replace dgl.batch_hetero with dgl.batch dgl_warning('From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/contrib/sampling/sampler.py:317: DGLWarning: dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5.' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_layer_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/_deprecate/nodeflow.py:99: DGLWarning: NodeFlow APIs are deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('NodeFlow APIs are deprecated starting from v0.5. Please read our' tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/sampling/negative.py:102: ComplexWarning: Casting complex values to real discards the imaginary part g._graph, etype_id, num_samples, 3, exclude_self_loops, replace, redundancy) tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] tests/compute/test_transform.py::test_simple_graph /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/data/graph_serialize.py:179: DGLWarning: You are loading a graph file saved by old version of dgl. Please consider saving it again with the current format. Please consider saving it again with the current format.") tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4085@3/python/dgl/transforms/functional.py:1192: 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-4085@3/python/dgl/transforms/functional.py:1195: 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-4085@3/python/dgl/transforms/functional.py:1244: 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-4085@3/python/dgl/backend/pytorch/tensor.py:46: 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-4085@3/pytest_compute.xml - =========================== short test summary info ============================ FAILED tests/compute/test_data.py::test_as_nodepred_ogb - urllib.error.URLErr... FAILED tests/compute/test_data.py::test_as_linkpred_ogb - urllib.error.URLErr... FAILED tests/compute/test_data.py::test_as_graphpred_ogb - urllib.error.URLEr... ===== 3 failed, 2381 passed, 39 skipped, 438 warnings in 697.29s (0:11:37) ===== 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 [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp3-g1] FAIL: compute [Pipeline] } [Pipeline] // timeout [Pipeline] } PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp4-g1] [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU Example test) Stage "Torch CPU Example test" skipped due to earlier failure(s) [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU Tutorial test) Stage "Torch CPU Tutorial test" skipped due to earlier failure(s) [Pipeline] } PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp0-g0] [Pipeline] // stage [Pipeline] stage [Pipeline] { (DGL-Go CPU test) Stage "DGL-Go CPU test" skipped due to earlier failure(s) [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp4-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp4-g1] PASSED [ 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 [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp5-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp5-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp4-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp1-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] [WS-CLEANUP] done PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] [Pipeline] } $ docker stop --time=1 3eceb463567f9287f848b7c6a2e24cd6663927e013a62a9e4f993cb84011b7a0 PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp1-g1] PASSED [ 82%] 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 [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp2-g0] PASSED [ 42%]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] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] $ docker rm -f 3eceb463567f9287f848b7c6a2e24cd6663927e013a62a9e4f993cb84011b7a0 PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp2-g1] PASSED [ 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] [Pipeline] // stage [Pipeline] } Failed in branch Torch CPU PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-e-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-e-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-e-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk SKIPPED [ 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 SKIPPED (...) [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk SKIPPED (...) [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg SKIPPED [ 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_exclude_edges_heteroG[int32] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] SKIPPED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph SKIPPED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] SKIPPED (GPU...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] SKIPPED (GPU...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] SKIPPED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] SKIPPED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 22%] 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 [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] PASSED [ 23%] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 24%] 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%] 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[ 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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] PASSED [ 25%] 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%] 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PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-u-shp0-g0] PASSED [ 47%]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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] PASSED [ 36%] 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tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g0] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-u-shp0-g1] PASSED [ 47%] 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%] 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[ 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_generators.py::test_rand_graph PASSED [ 6%] tests/compute/test_graph.py::test_query PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 6%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 6%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 6%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype0] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype1] SKIPPED (...) 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[ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_float_cast PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_reverse[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype0] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype1] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g0] PASSED [ 40%] 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tests/compute/test_kernel.py::test_all_binary_builtins PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 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 [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g1] PASSED [ 44%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g0] PASSED [ 65%] 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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 [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp2-g0] 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 [ 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%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp1-g0] PASSED [ 51%]PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-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 [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 66%] 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 [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 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 [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] PASSED [ 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] 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 [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp3-g0] PASSED [ 51%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g1] PASSED [ 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 [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g1] PASSED [ 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%] 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tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 78%] 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%] 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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 [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 81%] 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 [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp4-g1] PASSED [ 52%] 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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 [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp1-g1] 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 [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-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 [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 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 [ 88%] 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 [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 92%]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 [ 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 [ 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] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype0] PASSED [ 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 [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp3-g0] PASSED [ 53%] 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp0-g1] 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 [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device1] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected SKIPPED (GPU not...) [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph SKIPPED (GPU not ...) [ 96%] tests/compute/test_transform.py::test_khop_graph SKIPPED (GPU not im...) [ 96%] tests/compute/test_transform.py::test_khop_adj SKIPPED (GPU not impl...) [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max SKIPPED (...) [ 96%] tests/compute/test_transform.py::test_partition_with_halo SKIPPED (G...) [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] SKIPPED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes SKIPPED (It does...) [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] SKIPPED (GP...) [ 97%] tests/compute/test_transform.py::test_to_simple[idtype1] SKIPPED (GP...) [ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp3-g0] PASSED [ 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 [ 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 [ 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 [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] 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] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_gdc[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp2-g1] PASSED [ 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 [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] =================================== FAILURES =================================== _____________________________ test_as_nodepred_ogb _____________________________ self = http_class = req = , http_conn_args = {} host = 'snap.stanford.edu' h = def do_open(self, http_class, req, **http_conn_args): """Return an HTTPResponse object for the request, using http_class. http_class must implement the HTTPConnection API from http.client. """ host = req.host if not host: raise URLError('no host given') # will parse host:port h = http_class(host, timeout=req.timeout, **http_conn_args) h.set_debuglevel(self._debuglevel) headers = dict(req.unredirected_hdrs) headers.update(dict((k, v) for k, v in req.headers.items() if k not in headers)) # TODO(jhylton): Should this be redesigned to handle # persistent connections? # We want to make an HTTP/1.1 request, but the addinfourl # class isn't prepared to deal with a persistent connection. # It will try to read all remaining data from the socket, # which will block while the server waits for the next request. # So make sure the connection gets closed after the (only) # request. headers["Connection"] = "close" headers = dict((name.title(), val) for name, val in headers.items()) if req._tunnel_host: tunnel_headers = {} proxy_auth_hdr = "Proxy-Authorization" if proxy_auth_hdr in headers: tunnel_headers[proxy_auth_hdr] = headers[proxy_auth_hdr] # Proxy-Authorization should not be sent to origin # server. del headers[proxy_auth_hdr] h.set_tunnel(req._tunnel_host, headers=tunnel_headers) try: try: h.request(req.get_method(), req.selector, req.data, headers, > encode_chunked=req.has_header('Transfer-encoding')) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:1318: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , method = 'GET' url = '/ogb/data/nodeproppred/arxiv.zip', body = None headers = {'Connection': 'close', 'Host': 'snap.stanford.edu', 'User-Agent': 'Python-urllib/3.6'} def request(self, method, url, body=None, headers={}, *, encode_chunked=False): """Send a complete request to the server.""" > self._send_request(method, url, body, headers, encode_chunked) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:1254: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , method = 'GET' url = '/ogb/data/nodeproppred/arxiv.zip', body = None headers = {'Connection': 'close', 'Host': 'snap.stanford.edu', 'User-Agent': 'Python-urllib/3.6'} encode_chunked = False def _send_request(self, method, url, body, headers, encode_chunked): # Honor explicitly requested Host: and Accept-Encoding: headers. header_names = frozenset(k.lower() for k in headers) skips = {} if 'host' in header_names: skips['skip_host'] = 1 if 'accept-encoding' in header_names: skips['skip_accept_encoding'] = 1 self.putrequest(method, url, **skips) # chunked encoding will happen if HTTP/1.1 is used and either # the caller passes encode_chunked=True or the following # conditions hold: # 1. content-length has not been explicitly set # 2. the body is a file or iterable, but not a str or bytes-like # 3. Transfer-Encoding has NOT been explicitly set by the caller if 'content-length' not in header_names: # only chunk body if not explicitly set for backwards # compatibility, assuming the client code is already handling the # chunking if 'transfer-encoding' not in header_names: # if content-length cannot be automatically determined, fall # back to chunked encoding encode_chunked = False content_length = self._get_content_length(body, method) if content_length is None: if body is not None: if self.debuglevel > 0: print('Unable to determine size of %r' % body) encode_chunked = True self.putheader('Transfer-Encoding', 'chunked') else: self.putheader('Content-Length', str(content_length)) else: encode_chunked = False for hdr, value in headers.items(): self.putheader(hdr, value) if isinstance(body, str): # RFC 2616 Section 3.7.1 says that text default has a # default charset of iso-8859-1. body = _encode(body, 'body') > self.endheaders(body, encode_chunked=encode_chunked) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:1300: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = message_body = None def endheaders(self, message_body=None, *, encode_chunked=False): """Indicate that the last header line has been sent to the server. This method sends the request to the server. The optional message_body argument can be used to pass a message body associated with the request. """ if self.__state == _CS_REQ_STARTED: self.__state = _CS_REQ_SENT else: raise CannotSendHeader() > self._send_output(message_body, encode_chunked=encode_chunked) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:1249: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = message_body = None, encode_chunked = False def _send_output(self, message_body=None, encode_chunked=False): """Send the currently buffered request and clear the buffer. Appends an extra \\r\\n to the buffer. A message_body may be specified, to be appended to the request. """ self._buffer.extend((b"", b"")) msg = b"\r\n".join(self._buffer) del self._buffer[:] > self.send(msg) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:1036: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = data = b'GET /ogb/data/nodeproppred/arxiv.zip HTTP/1.1\r\nAccept-Encoding: identity\r\nHost: snap.stanford.edu\r\nUser-Agent: Python-urllib/3.6\r\nConnection: close\r\n\r\n' def send(self, data): """Send `data' to the server. ``data`` can be a string object, a bytes object, an array object, a file-like object that supports a .read() method, or an iterable object. """ if self.sock is None: if self.auto_open: > self.connect() /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:974: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = def connect(self): """Connect to the host and port specified in __init__.""" self.sock = self._create_connection( > (self.host,self.port), self.timeout, self.source_address) /opt/conda/envs/pytorch-ci/lib/python3.6/http/client.py:946: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ address = ('snap.stanford.edu', 80), timeout = source_address = None def create_connection(address, timeout=_GLOBAL_DEFAULT_TIMEOUT, source_address=None): """Connect to *address* and return the socket object. Convenience function. Connect to *address* (a 2-tuple ``(host, port)``) and return the socket object. Passing the optional *timeout* parameter will set the timeout on the socket instance before attempting to connect. If no *timeout* is supplied, the global default timeout setting returned by :func:`getdefaulttimeout` is used. If *source_address* is set it must be a tuple of (host, port) for the socket to bind as a source address before making the connection. A host of '' or port 0 tells the OS to use the default. """ host, port = address err = None for res in getaddrinfo(host, port, 0, SOCK_STREAM): af, socktype, proto, canonname, sa = res sock = None try: sock = socket(af, socktype, proto) if timeout is not _GLOBAL_DEFAULT_TIMEOUT: sock.settimeout(timeout) if source_address: sock.bind(source_address) sock.connect(sa) # Break explicitly a reference cycle err = None return sock except error as _: err = _ if sock is not None: sock.close() if err is not None: > raise err /opt/conda/envs/pytorch-ci/lib/python3.6/socket.py:724: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ address = ('snap.stanford.edu', 80), timeout = source_address = None def create_connection(address, timeout=_GLOBAL_DEFAULT_TIMEOUT, source_address=None): """Connect to *address* and return the socket object. Convenience function. Connect to *address* (a 2-tuple ``(host, port)``) and return the socket object. Passing the optional *timeout* parameter will set the timeout on the socket instance before attempting to connect. If no *timeout* is supplied, the global default timeout setting returned by :func:`getdefaulttimeout` is used. If *source_address* is set it must be a tuple of (host, port) for the socket to bind as a source address before making the connection. A host of '' or port 0 tells the OS to use the default. """ host, port = address err = None for res in getaddrinfo(host, port, 0, SOCK_STREAM): af, socktype, proto, canonname, sa = res sock = None try: sock = socket(af, socktype, proto) if timeout is not _GLOBAL_DEFAULT_TIMEOUT: sock.settimeout(timeout) if source_address: sock.bind(source_address) > sock.connect(sa) E TimeoutError: [Errno 110] Connection timed out /opt/conda/envs/pytorch-ci/lib/python3.6/socket.py:713: TimeoutError During handling of the above exception, another exception occurred: @unittest.skipIf(dgl.backend.backend_name != 'pytorch', reason="ogb only supports pytorch") def test_as_nodepred_ogb(): from ogb.nodeproppred import DglNodePropPredDataset > ds = data.AsNodePredDataset(DglNodePropPredDataset("ogbn-arxiv"), split_ratio=None, verbose=True) tests/compute/test_data.py:1349: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/ogb/nodeproppred/dataset_dgl.py:69: in __init__ self.pre_process() /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/ogb/nodeproppred/dataset_dgl.py:98: in pre_process if decide_download(url): /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/ogb/utils/url.py:12: in decide_download d = ur.urlopen(url) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:223: in urlopen return opener.open(url, data, timeout) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:526: in open response = self._open(req, data) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:544: in _open '_open', req) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:504: in _call_chain result = func(*args) /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:1346: in http_open return self.do_open(http.client.HTTPConnection, req) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = http_class = req = , http_conn_args = {} host = 'snap.stanford.edu' h = def do_open(self, http_class, req, **http_conn_args): """Return an HTTPResponse object for the request, using http_class. http_class must implement the HTTPConnection API from http.client. """ host = req.host if not host: raise URLError('no host given') # will parse host:port h = http_class(host, timeout=req.timeout, **http_conn_args) h.set_debuglevel(self._debuglevel) headers = dict(req.unredirected_hdrs) headers.update(dict((k, v) for k, v in req.headers.items() if k not in headers)) # TODO(jhylton): Should this be redesigned to handle # persistent connections? # We want to make an HTTP/1.1 request, but the addinfourl # class isn't prepared to deal with a persistent connection. # It will try to read all remaining data from the socket, # which will block while the server waits for the next request. # So make sure the connection gets closed after the (only) # request. headers["Connection"] = "close" headers = dict((name.title(), val) for name, val in headers.items()) if req._tunnel_host: tunnel_headers = {} proxy_auth_hdr = "Proxy-Authorization" if proxy_auth_hdr in headers: tunnel_headers[proxy_auth_hdr] = headers[proxy_auth_hdr] # Proxy-Authorization should not be sent to origin # server. del headers[proxy_auth_hdr] h.set_tunnel(req._tunnel_host, headers=tunnel_headers) try: try: h.request(req.get_method(), req.selector, req.data, headers, encode_chunked=req.has_header('Transfer-encoding')) except OSError as err: # timeout error > raise URLError(err) E urllib.error.URLError: /opt/conda/envs/pytorch-ci/lib/python3.6/urllib/request.py:1320: URLError ------------------------------ Captured log call ------------------------------- WARNING root:version.py:19 The OGB package is out of date. Your version is 1.3.2, while the latest version is 1.3.3. =============================== warnings summary =============================== python/dgl/backend/backend.py:1741 /root/jenkins/workspace/dgl_PR-4085/python/dgl/backend/backend.py:1741: DeprecationWarning: invalid escape sequence \P """ tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 6 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/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-4085/python/dgl/heterograph_index.py:777: FutureWarning: Adjacency matrix by default currently returns edge IDs. As a result there is one 0 entry which is not eliminated. In the next release it will return 1s by default, and 0 will be eliminated otherwise. FutureWarning) tests/compute/test_data.py::test_as_nodepred_ogb tests/compute/test_data.py::test_as_nodepred_ogb /opt/conda/envs/pytorch-ci/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject return f(*args, **kwds) tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query tests/compute/test_heterograph.py::test_query[idtype0] tests/compute/test_heterograph.py::test_query[idtype1] /root/jenkins/workspace/dgl_PR-4085/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-4085/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_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-4085/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-4085/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-4085/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-4085/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-4085/tests/compute/test_heterograph.py:1110: 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-4085/tests/compute/test_heterograph.py:1111: 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-4085/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-4085/python/dgl/backend/pytorch/tensor.py:279: 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-4085/python/dgl/backend/pytorch/tensor.py:575: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the gradient for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. return x.grad tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/python/dgl/transforms/functional.py:1192: 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-4085/python/dgl/transforms/functional.py:1195: 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-4085/python/dgl/backend/pytorch/tensor.py:46: 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-4085/pytest_compute.xml -- =========================== short test summary info ============================ FAILED tests/compute/test_data.py::test_as_nodepred_ogb - urllib.error.URLErr... ==== 1 failed, 2312 passed, 112 skipped, 203 warnings in 276.41s (0:04:36) ===== 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 [ 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 [ 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 [ 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 [ 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 [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] FAIL: compute [Pipeline] } 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 [ 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] [Pipeline] // timeout [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch GPU Example test) Stage "Torch GPU Example test" skipped due to earlier failure(s) [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp0-g0] PASSED [ 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 [ 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp2-g1] PASSED [ 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp2-g1] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 5f0e1fd35c04ef6d6a014aec5f3ee73fec28178b3a13da4f66da02f40ea46eb4 PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] 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 [ 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 [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp2-g1] PASSED [ 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] 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 [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp4-g0] PASSED [ 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp3-g1] PASSED [ 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 [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] 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] $ docker rm -f 5f0e1fd35c04ef6d6a014aec5f3ee73fec28178b3a13da4f66da02f40ea46eb4 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 [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp3-g0] PASSED [ 60%] 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] 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] [Pipeline] // withDockerContainer [Pipeline] } PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] 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 [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp4-g1] [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4085 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } Failed in branch Torch GPU [Pipeline] checkout The recommended git tool is: git using credential github Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp2-g1] PASSED [ 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp4-g1] PASSED [ 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 [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp2-g1] PASSED [ 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] PASSED [ 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] 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] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4085 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp4-g0] PASSED [ 63%] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp3-g1] PASSED [ 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 [ 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 [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp1-g0] PASSED [ 64%] 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] Cleaning workspace PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] 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 [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp3-g1] PASSED [ 65%] 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 [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp0-g1] Fetching without tags Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4085/head:refs/remotes/origin/PR-4085 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp2-g0] PASSED [ 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 [ 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] Merge succeeded, producing ef6c525c25a14a47660df88caa17355b1ccbe306 Checking out Revision ef6c525c25a14a47660df88caa17355b1ccbe306 (PR-4085) Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace 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 [ 88%] 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 [ 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp1-g1] [Pipeline] withEnv [Pipeline] { > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f ef6c525c25a14a47660df88caa17355b1ccbe306 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4085 ef6c525c25a14a47660df88caa17355b1ccbe306 # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # 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 PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp3-g1] + docker pull dgllib/dgl-ci-gpu:cu101_v220217 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 [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp2-g0] PASSED [ 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 [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp4-g0] PASSED [ 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] cu101_v220217: Pulling from dgllib/dgl-ci-gpu Digest: sha256:54de7da1aded4109de9852e90105193ec0ea4b59d84d8c4e928e0cb43c0521ee Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220217 docker.io/dgllib/dgl-ci-gpu:cu101_v220217 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] 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] + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220217 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp2-g1] PASSED [ 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] 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-4085 -v /root/jenkins/workspace/dgl_PR-4085:/root/jenkins/workspace/dgl_PR-4085:rw,z -v /root/jenkins/workspace/dgl_PR-4085@tmp:/root/jenkins/workspace/dgl_PR-4085@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_v220217 cat PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-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 [ 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 [ 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 [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp4-g1] $ docker top ced76cb204f1fd6448de1570640b624e6ca7c8ec6e9dcfff70053eef0025c11e -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (MXNet GPU Unit test) [Pipeline] sh PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp0-g1] PASSED [ 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp3-g1] PASSED [ 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] + nvidia-smi Tue Jun 21 22:28:36 2022 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | | N/A 45C P8 16W / 70W | 0MiB / 15360MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ [Pipeline] sh PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-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] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include mycustomgnn python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@5548b15; decorates RemoteLauncher[hudson.remoting.Channel@34edbd18:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 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] Fetching without tags PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-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 [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp1-g0] PASSED [ 71%] 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] Merging remotes/origin/master commit 31e4a89b2327939089f97ed0b33f1924369ce11d into PR head commit c573d61abc3162ddee08a1eb7e4a5fe518c23a5e PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp2-g1] PASSED [ 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] Merge succeeded, producing ab2f32bc604d2becad148139295bbdce61175b1e Checking out Revision ab2f32bc604d2becad148139295bbdce61175b1e (PR-4085) PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp3-g0] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4085/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4085/head:refs/remotes/origin/PR-4085 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c573d61abc3162ddee08a1eb7e4a5fe518c23a5e # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 31e4a89b2327939089f97ed0b33f1924369ce11d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f ab2f32bc604d2becad148139295bbdce61175b1e # timeout=10 Commit message: "Merge commit '31e4a89b2327939089f97ed0b33f1924369ce11d' into HEAD" First time build. Skipping changelog. Cleaning workspace > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4085 # timeout=10 > git checkout -b PR-4085 ab2f32bc604d2becad148139295bbdce61175b1e # timeout=10 > git rev-list --no-walk 26038716604b34560ad135da97b7786e79ae7872 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 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 [ 72%] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-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] [Pipeline] sh PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp1-g1] + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp3-g1] Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'third_party/METIS'... 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 [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp0-g1] PASSED [ 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_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 [ 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 [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp3-g1] Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'GKlib' Cloning into 'GKlib'... 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp2-g1] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Cloning into 'third_party/cub'... PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-v-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-e-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp1-g0] PASSED [ 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 [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-u-shp4-g1] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-v-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp2-g0] PASSED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] SKIPPED [ 11%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype0] PASSED [ 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 [ 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 [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp4-g0] PASSED [ 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp1-g1] PASSED [ 13%] tests/compute/test_random.py::test_random_choice PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-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] Submodule path 'third_party/cub': checked out 'a3ee304a1f8e22f278df10600df2e4b333012592' Cloning into 'third_party/dlpack'... PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype1] PASSED [ 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 [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype1] PASSED [ 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp1-g1] Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Cloning into 'third_party/dmlc-core'... PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 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 [ 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 [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp3-g1] PASSED [ 17%] 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PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype0] PASSED [ 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp0-g1] Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Cloning into 'third_party/googletest'... PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp4-g0] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] 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 [ 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 [ 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 [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp0-g1] PASSED [ 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp1-g0] Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Cloning into 'third_party/libxsmm'... PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp4-g1] PASSED [ 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%] 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tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp1-g0] PASSED [ 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%] 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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 [ 86%] 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 [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] 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 [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp1-g1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype1] SKIPPED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype0] 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 [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp2-g1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] 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 [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp0-g0] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] 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 [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] 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 [ 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp0-g0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 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 [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 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 [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 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 [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph 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 [ 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 [ 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 [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] 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 [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype1] 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 [ 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp1-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp2-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp2-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp3-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp0-src-g0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device0] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device1] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-/cpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-/gpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-/cpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-/gpu:0] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 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 [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected PASSED [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_adj PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-int32] SKIPPED [ 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 [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max PASSED [ 96%] tests/compute/test_transform.py::test_partition_with_halo PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[int64] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[int32] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[int64] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[int64] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[int64] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[int64] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[int32] SKIPPED (M...) [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[int64] SKIPPED (M...) [ 95%] tests/compute/test_subgraph.py::test_subgraph1[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int32-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int32-device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int64-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int64-device1] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[int32] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[int64] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[int32] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[int64] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[int32] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[int64] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected PASSED [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_adj PASSED [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max PASSED [ 96%] tests/compute/test_transform.py::test_partition_with_halo PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[int32] PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[int64] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_nodes PASSED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk PASSED [ 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[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 PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous PASSED [ 20%] 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 [ 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 [ 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 [ 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_exclude_edges_heteroG[int32] 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 [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 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 [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] SKIPPED (...) [ 98%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] SKIPPED (...) [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] SKIPPED (O...) 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[ 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 [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 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-4085@2/python/dgl/backend/backend.py:1741: DeprecationWarning: invalid escape sequence \P """ ../../../../opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py:15 /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py:15: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_serialize.py: 3 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 10 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4085@2/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py: 2 warnings tests/compute/test_batched_graph.py: 8 warnings tests/compute/test_graph.py: 2 warnings tests/compute/test_kernel.py: 1 warning tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 10 warnings tests/compute/test_specialization.py: 10 warnings tests/compute/test_subgraph.py: 2 warnings /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/python/dgl/heterograph_index.py:777: FutureWarning: Adjacency matrix by default currently returns edge IDs. As a result there is one 0 entry which is not eliminated. In the next release it will return 1s by default, and 0 will be eliminated otherwise. FutureWarning) tests/compute/test_data.py: 213 warnings /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/networkx/utils/misc.py:34: DeprecationWarning: is_string_like is deprecated and will be removed in 3.0.Use isinstance(obj, str) instead. warnings.warn(msg, DeprecationWarning) tests/compute/test_data.py::test_citation_graph tests/compute/test_data.py::test_citation_graph /root/jenkins/workspace/dgl_PR-4085@2/python/dgl/data/citation_graph.py:291: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/numpy/lib/arraysetops.py:576: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison mask &= (ar1 != a) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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 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-4085@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-4085@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-4085@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-4085@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-4085@2/tests/compute/test_heterograph.py:1110: 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-4085@2/tests/compute/test_heterograph.py:1111: 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-4085@2/python/dgl/heterograph.py:2635: DGLWarning: DGLGraph.is_readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.is_readonly is deprecated in v0.5.\n' tests/compute/test_pickle.py::test_pickling_batched_heterograph /root/jenkins/workspace/dgl_PR-4085@2/python/dgl/batch.py:511: DGLWarning: From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely replace dgl.batch_hetero with dgl.batch dgl_warning('From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4085@2/python/dgl/contrib/sampling/sampler.py:317: DGLWarning: dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5.' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_layer_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@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-4085@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-4085@2/python/dgl/transforms/functional.py:1192: 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-4085@2/python/dgl/transforms/functional.py:1195: 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-4085@2/python/dgl/transforms/functional.py:1244: 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-4085@2/pytest_compute.xml - ========= 2299 passed, 124 skipped, 428 warnings in 778.79s (0:12:58) ========== PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_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] ============================= test session starts ============================== platform linux -- Python 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4085@2 collecting ... 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[ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] PASSED [ 22%] 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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 [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] collected 920 items tests/tensorflow/test_basic.py::test PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv[1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv[2] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g0-idtype0] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g0-idtype1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g1-idtype0] PASSED [ 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 [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] 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 [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] PASSED [ 23%] 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 [ 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%]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] 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 [ 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%]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] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] PASSED [ 24%] 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 [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g2-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g2-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g3-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g3-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g4-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g4-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g5-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g5-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g6-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g6-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g0-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g0-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g1-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g1-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g2-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g2-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g3-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g3-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g4-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g4-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g5-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g5-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g6-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g6-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g0-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g0-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g1-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g1-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g2-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g2-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g3-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g3-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g4-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g4-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g5-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g5-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g6-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g6-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g0-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g0-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g1-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g1-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype0] PASSED [ 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 [ 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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] PASSED [ 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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] 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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] PASSED [ 25%] 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 [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g0-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g1-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g1-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g0-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g1-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g1-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-idtype1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] PASSED [ 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 [ 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 [ 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] PASSED [ 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] PASSED [ 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 [ 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] PASSED [ 27%] 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 [ 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 [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] PASSED [ 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 [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 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 [ 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 [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] 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 [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] 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 [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] PASSED [ 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 [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g1] PASSED [ 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 [ 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 [ 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 [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] 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 [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] 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 [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] PASSED [ 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g0] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] PASSED [ 30%] 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-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 [ 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] PASSED [ 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g2-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g2-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g2-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g2-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 32%] 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tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] PASSED [ 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%]PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] PASSED [100%] =============================== warnings summary =============================== ../../../../opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py:15 /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py:15: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp tests/tensorflow/test_nn.py::test_graph_conv[1] tests/tensorflow/test_nn.py::test_graph_conv[2] tests/tensorflow/test_nn.py::test_simple_pool tests/tensorflow/test_nn.py::test_glob_att_pool tests/tensorflow/test_nn.py::test_rgcn[1] tests/tensorflow/test_nn.py::test_rgcn[2] tests/tensorflow/test_nn.py::test_rgcn[8] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] /root/jenkins/workspace/dgl_PR-4085@2/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/tensorflow/test_nn.py::test_rgcn[1] tests/tensorflow/test_nn.py::test_rgcn[2] tests/tensorflow/test_nn.py::test_rgcn[8] /root/jenkins/workspace/dgl_PR-4085@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-4085@2/pytest_backend.xml - ====================== 920 passed, 13 warnings in 14.04s ======================= PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] 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] ============================= test session starts ============================== platform linux -- Python 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4085@2 collecting ... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] [22:29:18] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_nodes 2022-06-21 22:29:18.742216: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:29:18.742239: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:29:18.742252: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:29:18.742457: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:29:18.765838: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:29:18.767190: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5558efe92970 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:29:18.767218: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g0] run graph store with port 6821 collected 53 items tests/distributed/test_dist_graph_store.py::test_server_client SKIPPED [ 1%] 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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...) 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[ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[int64] SKIPPED [ 99%] tests/compute/test_traversal.py::test_bfs[int32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[int64] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] PASSED [ 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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@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_data.py: 213 warnings /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/networkx/utils/misc.py:34: DeprecationWarning: is_string_like is deprecated and will be removed in 3.0.Use isinstance(obj, str) instead. warnings.warn(msg, DeprecationWarning) tests/compute/test_data.py::test_citation_graph /root/jenkins/workspace/dgl_PR-4085@4/python/dgl/data/citation_graph.py:291: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/numpy/lib/arraysetops.py:576: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison mask &= (ar1 != a) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4085@4/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[int32] tests/compute/test_heterograph.py::test_query[int64] /root/jenkins/workspace/dgl_PR-4085@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-4085@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 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-4085@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-4085@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-4085@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-4085@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-4085@4/tests/compute/test_heterograph.py:1110: 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-4085@4/tests/compute/test_heterograph.py:1111: 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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@4/python/dgl/sampling/negative.py:102: ComplexWarning: Casting complex values to real discards the imaginary part g._graph, etype_id, num_samples, 3, exclude_self_loops, replace, redundancy) tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] tests/compute/test_transform.py::test_simple_graph /root/jenkins/workspace/dgl_PR-4085@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-4085@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-4085@4/python/dgl/transforms/functional.py:1192: 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-4085@4/python/dgl/transforms/functional.py:1195: 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-4085@4/python/dgl/transforms/functional.py:1244: 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-4085@4/pytest_compute.xml - ========= 2301 passed, 122 skipped, 725 warnings in 796.98s (0:13:16) ========== PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] ============================= 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-4085@4 collecting ... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g0] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Cloning into 'third_party/nanoflann'... Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Cloning into 'third_party/nccl'... Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Cloning into 'third_party/phmap'... Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Cloning into '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/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' Cloning into 'third_party/googletest'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Cloning into 'third_party/libnop'... PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] 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] Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Cloning into 'third_party/libuv'... PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g0] collected 806 items tests/mxnet/test_geometry.py::test_fps PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[1-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[1-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[2-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[2-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g0-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g0-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g1-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g1-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g2-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g2-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g3-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g3-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g4-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g4-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g5-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g5-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g6-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g6-int64] PASSED [ 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 [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g1] 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 [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g1] PASSED [ 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 [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g0] PASSED [ 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 [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g1] PASSED [ 45%]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] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g0] PASSED [ 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 [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g1] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int64] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g1] 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 [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g1] PASSED [ 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g1] 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 [ 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%]PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g0] 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/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/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g1] 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] Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Cloning into 'third_party/pybind11'... PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g0] PASSED [ 52%] 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 [ 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 [ 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] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g0] PASSED [ 53%] 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 [ 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g1] 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g1] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-both-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-right-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-right-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-none-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-none-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-right-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-right-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-none-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-none-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-both-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-both-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-right-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-right-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-none-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-none-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-both-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-both-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-right-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-right-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-none-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-none-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-both-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-both-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-right-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-right-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-none-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-none-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-both-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-both-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-right-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-right-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-none-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-none-int64] PASSED [ 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g0] PASSED [ 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 [ 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g0] PASSED [ 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%]PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g1] PASSED [ 56%] 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g1] 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g0] PASSED [ 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] Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'tools/clang' Cloning into 'tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Cloning into 'third_party/thrust'... PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g0] PASSED [ 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 [ 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 [ 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 [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g1] PASSED [ 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 [ 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 [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g1] PASSED [ 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 [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g1] PASSED [ 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 [ 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-4085@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-4085@4/pytest_backend.xml - ======================= 806 passed, 2 warnings in 7.90s ======================== 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 [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g0] Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: PASSED [ 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 [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g1] ============================= 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-4085@4 collecting ... 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 [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] PASSED [ 65%] 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 [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 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 [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] PASSED [ 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] Submodule path 'third_party/thrust': checked out '0ef5c509856e12cc408f0f00ed586b4c5b1a155c' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'dependencies/cub' Cloning into 'dependencies/cub'... PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g1] PASSED [ 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%] 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Construct subgraphs: 0.125 seconds Splitting the graph into partitions takes 0.220s, peak mem: 14.347 GB part 0 has 10000 nodes of type n1 and 2574 are inside the partition part 0 has 9873 nodes of type n2 and 2576 are inside the partition part 0 has 9901 nodes of type n3 and 2580 are inside the partition part 0 has 92426 edges of type r1 and 25798 are inside the partition part 0 has 40959 edges of type r2 and 25834 are inside the partition part 0 has 40713 edges of type r3 and 25619 are inside the partition part 1 has 10000 nodes of type n1 and 2574 are inside the partition part 1 has 9904 nodes of type n2 and 2576 are inside the partition part 1 has 9906 nodes of type n3 and 2580 are inside the partition part 1 has 92768 edges of type r1 and 25800 are inside the partition part 1 has 40705 edges of type r2 and 25798 are inside the partition part 1 has 41105 edges of type r3 and 25978 are inside the partition part 2 has 9999 nodes of type n1 and 2281 are inside the partition part 2 has 9794 nodes of type n2 and 2281 are inside the partition part 2 has 9801 nodes of type n3 and 2280 are inside the partition part 2 has 89496 edges of type r1 and 22774 are inside the partition part 2 has 36244 edges of type r2 and 22739 are inside the partition part 2 has 36291 edges of type r3 and 22826 are inside the partition part 3 has 10000 nodes of type n1 and 2571 are inside the partition part 3 has 9883 nodes of type n2 and 2577 are inside the partition part 3 has 9906 nodes of type n3 and 2580 are inside the partition part 3 has 92623 edges of type r1 and 25728 are inside the partition part 3 has 40948 edges of type r2 and 25829 are inside the partition part 3 has 40613 edges of type r3 and 25877 are inside the partition Save partitions: 0.062 seconds, peak memory: 14.347 GB There are 300600 edges in the graph and 0 edge cuts for 4 partitions. [22:29:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. 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tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 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-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] Converting to homogeneous graph takes 0.003s, peak mem: 14.445 GB Convert a graph into a bidirected graph: 0.005 seconds, peak memory: 14.445 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 14.445 GB [22:29:36] /root/jenkins/workspace/dgl_PR-4085/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 10000 nodes and 199872 edges into 4 parts and get 56367 edge cuts Metis partitioning: 0.046 seconds, peak memory: 14.445 GB Assigning nodes to METIS partitions takes 0.051s, peak mem: 14.445 GB Reshuffle nodes and edges: 0.008 seconds Split the graph: 0.026 seconds Construct subgraphs: 0.062 seconds Splitting the graph into partitions takes 0.096s, peak mem: 14.445 GB part 0 has 10000 nodes and 2501 are inside the partition part 0 has 91086 edges and 24909 are inside the partition part 1 has 10000 nodes and 2500 are inside the partition part 1 has 91382 edges and 24875 are inside the partition part 2 has 10000 nodes and 2499 are inside the partition part 2 has 91440 edges and 24937 are inside the partition part 3 has 10000 nodes and 2500 are inside the partition part 3 has 91368 edges and 25279 are inside the partition Save partitions: 0.027 seconds, peak memory: 14.445 GB There are 100000 edges in the graph and 0 edge cuts for 4 partitions. 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%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 11%] tests/distributed/test_dist_graph_store.py::test_split_even 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] Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path '3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path '3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path '3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path '3rdparty/vta-hw' Cloning into '3rdparty/dlpack'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Cloning into '3rdparty/dmlc-core'... PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Cloning into '3rdparty/rang'... Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Cloning into '3rdparty/vta-hw'... PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype1] Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Cloning into 'third_party/xbyak'... 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] Converting to homogeneous graph takes 0.003s, peak mem: 14.448 GB Convert a graph into a bidirected graph: 0.005 seconds, peak memory: 14.448 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 14.448 GB [22:29:40] /root/jenkins/workspace/dgl_PR-4085/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 10000 nodes and 199872 edges into 4 parts and get 56352 edge cuts Metis partitioning: 0.047 seconds, peak memory: 14.448 GB Assigning nodes to METIS partitions takes 0.052s, peak mem: 14.448 GB Reshuffle nodes and edges: 0.007 seconds Split the graph: 0.026 seconds Construct subgraphs: 0.065 seconds Splitting the graph into partitions takes 0.098s, peak mem: 14.448 GB 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] part 0 has 10000 nodes and 2500 are inside the partition part 0 has 91476 edges and 25068 are inside the partition part 1 has 10000 nodes and 2500 are inside the partition part 1 has 91549 edges and 25104 are inside the partition part 2 has 10000 nodes and 2500 are inside the partition part 2 has 91321 edges and 25003 are inside the partition part 3 has 10000 nodes and 2500 are inside the partition part 3 has 91124 edges and 24825 are inside the partition Save partitions: 0.025 seconds, peak memory: 14.448 GB There are 100000 edges in the graph and 0 edge cuts for 4 partitions. part 0 get 1730 nodes and 1730 are in the partition intersection has 1730 part 0 get 17318 edges and 17248 are in the partition intersection has 17318 part 1 get 1730 nodes and 1705 are in the partition intersection has 1730 part 1 get 17318 edges and 17318 are in the partition intersection has 17318 part 2 get 1730 nodes and 1720 are in the partition intersection has 1730 part 2 get 17318 edges and 17234 are in the partition intersection has 17318 part 3 get 1730 nodes and 1730 are in the partition intersection has 1730 part 3 get 17317 edges and 17225 are in the partition intersection has 17317 PASSED [ 13%] tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[1] SKIPPED [ 15%] tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[2] SKIPPED [ 16%] tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[1] SKIPPED [ 18%] tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[2] SKIPPED [ 20%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling SKIPPED [ 22%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[1] SKIPPED [ 24%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[2] SKIPPED [ 26%] tests/distributed/test_distributed_sampling.py::test_standalone_sampling SKIPPED [ 28%] tests/distributed/test_distributed_sampling.py::test_rpc_in_subgraph SKIPPED [ 30%] tests/distributed/test_distributed_sampling.py::test_standalone_etype_sampling SKIPPED [ 32%] tests/distributed/test_mp_dataloader.py::test_standalone SKIPPED (On...) [ 33%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-0-3] SKIPPED [ 35%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-4-3] SKIPPED [ 37%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-0-3] SKIPPED [ 39%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-4-3] SKIPPED [ 41%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-0-3] SKIPPED [ 43%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-4-3] SKIPPED [ 45%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-0-3] SKIPPED [ 47%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-4-3] SKIPPED [ 49%] tests/distributed/test_mp_dataloader.py::test_dataloader[node-0-3] SKIPPED [ 50%] tests/distributed/test_mp_dataloader.py::test_dataloader[node-4-3] SKIPPED [ 52%] tests/distributed/test_mp_dataloader.py::test_dataloader[edge-0-3] SKIPPED [ 54%] tests/distributed/test_mp_dataloader.py::test_dataloader[edge-4-3] SKIPPED [ 56%] tests/distributed/test_mp_dataloader.py::test_neg_dataloader[0-3] SKIPPED [ 58%] tests/distributed/test_mp_dataloader.py::test_neg_dataloader[4-3] SKIPPED [ 60%] tests/distributed/test_new_kvstore.py::test_partition_policy SKIPPED [ 62%] tests/distributed/test_new_kvstore.py::test_kv_store SKIPPED (Do not...) [ 64%] tests/distributed/test_new_kvstore.py::test_kv_multi_role SKIPPED (D...) [ 66%] tests/distributed/test_partition.py::test_partition Converting to homogeneous graph takes 0.001s, peak mem: 14.448 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 14.448 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 14.448 GB [22:29:40] /root/jenkins/workspace/dgl_PR-4085/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: 14.448 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 14.448 GB Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 14.448 GB Calculate edge assignment: 0.002 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: 0.007 seconds, peak memory: 14.448 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 14.448 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 14.448 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 14.448 GB [22:29:40] /root/jenkins/workspace/dgl_PR-4085/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: 14.448 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 14.448 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.007 seconds Splitting the graph into partitions takes 0.010s, peak mem: 14.448 GB 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] 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: 0.007 seconds, peak memory: 14.448 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 14.448 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 14.448 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 14.448 GB [22:29:40] /root/jenkins/workspace/dgl_PR-4085/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1000 nodes and 1997 edges into 32 parts and get 264 edge cuts Metis partitioning: 0.003 seconds, peak memory: 14.448 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 14.448 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.007 seconds Splitting the graph into partitions takes 0.010s, peak mem: 14.448 GB part 0 has 367 nodes and 251 are inside the partition part 0 has 358 edges and 267 are inside the partition part 1 has 363 nodes and 250 are inside the partition part 1 has 341 edges and 264 are inside the partition part 2 has 360 nodes and 249 are inside the partition part 2 has 320 edges and 237 are inside the partition part 3 has 377 nodes and 250 are inside the partition part 3 has 322 edges and 232 are inside the partition Save partitions: 0.008 seconds, peak memory: 14.448 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 14.448 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 14.448 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 14.448 GB [22:29:40] /root/jenkins/workspace/dgl_PR-4085/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: 14.448 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 14.448 GB Save partitions: 0.001 seconds, peak memory: 14.448 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 14.448 GB Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 14.448 GB Calculate edge assignment: 0.002 seconds part 0 has 624 nodes and 240 are inside the partition part 0 has 554 edges and 248 are inside the partition part 1 has 615 nodes and 249 are inside the partition part 1 has 573 edges and 244 are inside the partition part 2 has 601 nodes and 236 are inside the partition part 2 has 540 edges and 240 are inside the partition part 3 has 662 nodes and 275 are inside the partition part 3 has 602 edges and 268 are inside the partition Save partitions: 0.008 seconds, peak memory: 14.448 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 14.448 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.008 seconds Splitting the graph into partitions takes 0.010s, peak mem: 14.448 GB part 0 has 601 nodes and 237 are inside the partition part 0 has 551 edges and 247 are inside the partition part 1 has 598 nodes and 230 are inside the partition part 1 has 536 edges and 228 are inside the partition part 2 has 673 nodes and 269 are inside the partition part 2 has 637 edges and 288 are inside the partition part 3 has 614 nodes and 264 are inside the partition part 3 has 548 edges and 237 are inside the partition Save partitions: 0.008 seconds, peak memory: 14.448 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 14.448 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 14.448 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 14.448 GB PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] [22:29:40] /root/jenkins/workspace/dgl_PR-4085/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: 14.448 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 14.448 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.007 seconds Splitting the graph into partitions takes 0.010s, peak mem: 14.448 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: 0.008 seconds, peak memory: 14.448 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 67%] tests/distributed/test_partition.py::test_hetero_partition SKIPPED (...) [ 69%] tests/distributed/test_rpc.py::test_rpc_timeout[socket] Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] [22:29:42] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:29:42] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. 2022-06-21 22:29:42.530647: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:29:42.530677: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:29:42.530690: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:29:42.530923: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:29:42.539742: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:29:42.539767: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:29:42.539779: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:29:42.539982: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:29:42.546911: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:29:42.548222: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x56438fa33d10 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:29:42.548246: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:29:42.557900: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:29:42.559294: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55d87310afc0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:29:42.559319: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device1] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected PASSED [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_adj PASSED [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max PASSED [ 96%] 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 [22:29:43] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:29:43] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. 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] Start server 0 [22:29:44] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:29:44] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.4:24290]... 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] 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%] ================================== FAILURES =================================== ____________________________ test_as_nodepred_ogb _____________________________ self = http_class = req = , http_conn_args = {} host = 'snap.stanford.edu' h = def do_open(self, http_class, req, **http_conn_args): """Return an HTTPResponse object for the request, using http_class. http_class must implement the HTTPConnection API from http.client. """ host = req.host if not host: raise URLError('no host given') # will parse host:port h = http_class(host, timeout=req.timeout, **http_conn_args) h.set_debuglevel(self._debuglevel) headers = dict(req.unredirected_hdrs) headers.update(dict((k, v) for k, v in req.headers.items() if k not in headers)) # TODO(jhylton): Should this be redesigned to handle # persistent connections? # We want to make an HTTP/1.1 request, but the addinfourl # class isn't prepared to deal with a persistent connection. # It will try to read all remaining data from the socket, # which will block while the server waits for the next request. # So make sure the connection gets closed after the (only) # request. headers["Connection"] = "close" headers = dict((name.title(), val) for name, val in headers.items()) if req._tunnel_host: tunnel_headers = {} proxy_auth_hdr = "Proxy-Authorization" if proxy_auth_hdr in headers: tunnel_headers[proxy_auth_hdr] = headers[proxy_auth_hdr] # Proxy-Authorization should not be sent to origin # server. del headers[proxy_auth_hdr] h.set_tunnel(req._tunnel_host, headers=tunnel_headers) try: try: h.request(req.get_method(), req.selector, req.data, headers, > encode_chunked=req.has_header('Transfer-encoding')) c:\program files\python36\lib\urllib\request.py:1318: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , method = 'GET' url = '/ogb/data/nodeproppred/arxiv.zip', body = None headers = {'Connection': 'close', 'Host': 'snap.stanford.edu', 'User-Agent': 'Python-urllib/3.6'} def request(self, method, url, body=None, headers={}, *, encode_chunked=False): """Send a complete request to the server.""" > self._send_request(method, url, body, headers, encode_chunked) c:\program files\python36\lib\http\client.py:1239: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , method = 'GET' url = '/ogb/data/nodeproppred/arxiv.zip', body = None headers = {'Connection': 'close', 'Host': 'snap.stanford.edu', 'User-Agent': 'Python-urllib/3.6'} encode_chunked = False def _send_request(self, method, url, body, headers, encode_chunked): # Honor explicitly requested Host: and Accept-Encoding: headers. header_names = frozenset(k.lower() for k in headers) skips = {} if 'host' in header_names: skips['skip_host'] = 1 if 'accept-encoding' in header_names: skips['skip_accept_encoding'] = 1 self.putrequest(method, url, **skips) # chunked encoding will happen if HTTP/1.1 is used and either # the caller passes encode_chunked=True or the following # conditions hold: # 1. content-length has not been explicitly set # 2. the body is a file or iterable, but not a str or bytes-like # 3. Transfer-Encoding has NOT been explicitly set by the caller if 'content-length' not in header_names: # only chunk body if not explicitly set for backwards # compatibility, assuming the client code is already handling the # chunking if 'transfer-encoding' not in header_names: # if content-length cannot be automatically determined, fall # back to chunked encoding encode_chunked = False content_length = self._get_content_length(body, method) if content_length is None: if body is not None: if self.debuglevel > 0: print('Unable to determine size of %r' % body) encode_chunked = True self.putheader('Transfer-Encoding', 'chunked') else: self.putheader('Content-Length', str(content_length)) else: encode_chunked = False for hdr, value in headers.items(): self.putheader(hdr, value) if isinstance(body, str): # RFC 2616 Section 3.7.1 says that text default has a # default charset of iso-8859-1. body = _encode(body, 'body') > self.endheaders(body, encode_chunked=encode_chunked) c:\program files\python36\lib\http\client.py:1285: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = message_body = None def endheaders(self, message_body=None, *, encode_chunked=False): """Indicate that the last header line has been sent to the server. This method sends the request to the server. The optional message_body argument can be used to pass a message body associated with the request. """ if self.__state == _CS_REQ_STARTED: self.__state = _CS_REQ_SENT else: raise CannotSendHeader() > self._send_output(message_body, encode_chunked=encode_chunked) c:\program files\python36\lib\http\client.py:1234: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = message_body = None, encode_chunked = False def _send_output(self, message_body=None, encode_chunked=False): """Send the currently buffered request and clear the buffer. Appends an extra \\r\\n to the buffer. A message_body may be specified, to be appended to the request. """ self._buffer.extend((b"", b"")) msg = b"\r\n".join(self._buffer) del self._buffer[:] > self.send(msg) c:\program files\python36\lib\http\client.py:1026: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = data = b'GET /ogb/data/nodeproppred/arxiv.zip HTTP/1.1\r\nAccept-Encoding: identity\r\nHost: snap.stanford.edu\r\nUser-Agent: Python-urllib/3.6\r\nConnection: close\r\n\r\n' def send(self, data): """Send `data' to the server. ``data`` can be a string object, a bytes object, an array object, a file-like object that supports a .read() method, or an iterable object. """ if self.sock is None: if self.auto_open: > self.connect() c:\program files\python36\lib\http\client.py:964: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = def connect(self): """Connect to the host and port specified in __init__.""" self.sock = self._create_connection( > (self.host,self.port), self.timeout, self.source_address) c:\program files\python36\lib\http\client.py:936: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ address = ('snap.stanford.edu', 80) timeout = , source_address = None def create_connection(address, timeout=_GLOBAL_DEFAULT_TIMEOUT, source_address=None): """Connect to *address* and return the socket object. Convenience function. Connect to *address* (a 2-tuple ``(host, port)``) and return the socket object. Passing the optional *timeout* parameter will set the timeout on the socket instance before attempting to connect. If no *timeout* is supplied, the global default timeout setting returned by :func:`getdefaulttimeout` is used. If *source_address* is set it must be a tuple of (host, port) for the socket to bind as a source address before making the connection. A host of '' or port 0 tells the OS to use the default. """ host, port = address err = None for res in getaddrinfo(host, port, 0, SOCK_STREAM): af, socktype, proto, canonname, sa = res sock = None try: sock = socket(af, socktype, proto) if timeout is not _GLOBAL_DEFAULT_TIMEOUT: sock.settimeout(timeout) if source_address: sock.bind(source_address) sock.connect(sa) # Break explicitly a reference cycle err = None return sock except error as _: err = _ if sock is not None: sock.close() if err is not None: > raise err c:\program files\python36\lib\socket.py:724: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ address = ('snap.stanford.edu', 80) timeout = , source_address = None def create_connection(address, timeout=_GLOBAL_DEFAULT_TIMEOUT, source_address=None): """Connect to *address* and return the socket object. Convenience function. Connect to *address* (a 2-tuple ``(host, port)``) and return the socket object. Passing the optional *timeout* parameter will set the timeout on the socket instance before attempting to connect. If no *timeout* is supplied, the global default timeout setting returned by :func:`getdefaulttimeout` is used. If *source_address* is set it must be a tuple of (host, port) for the socket to bind as a source address before making the connection. A host of '' or port 0 tells the OS to use the default. """ host, port = address err = None for res in getaddrinfo(host, port, 0, SOCK_STREAM): af, socktype, proto, canonname, sa = res sock = None try: sock = socket(af, socktype, proto) if timeout is not _GLOBAL_DEFAULT_TIMEOUT: sock.settimeout(timeout) if source_address: sock.bind(source_address) > sock.connect(sa) E TimeoutError: [WinError 10060] A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond c:\program files\python36\lib\socket.py:713: TimeoutError During handling of the above exception, another exception occurred: @unittest.skipIf(dgl.backend.backend_name != 'pytorch', reason="ogb only supports pytorch") def test_as_nodepred_ogb(): from ogb.nodeproppred import DglNodePropPredDataset > ds = data.AsNodePredDataset(DglNodePropPredDataset("ogbn-arxiv"), split_ratio=None, verbose=True) tests\compute\test_data.py:1349: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ c:\program files\python36\lib\site-packages\ogb\nodeproppred\dataset_dgl.py:69: in __init__ self.pre_process() c:\program files\python36\lib\site-packages\ogb\nodeproppred\dataset_dgl.py:98: in pre_process if decide_download(url): c:\program files\python36\lib\site-packages\ogb\utils\url.py:12: in decide_download d = ur.urlopen(url) c:\program files\python36\lib\urllib\request.py:223: in urlopen return opener.open(url, data, timeout) c:\program files\python36\lib\urllib\request.py:526: in open response = self._open(req, data) c:\program files\python36\lib\urllib\request.py:544: in _open '_open', req) c:\program files\python36\lib\urllib\request.py:504: in _call_chain result = func(*args) c:\program files\python36\lib\urllib\request.py:1346: in http_open return self.do_open(http.client.HTTPConnection, req) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = http_class = req = , http_conn_args = {} host = 'snap.stanford.edu' h = def do_open(self, http_class, req, **http_conn_args): """Return an HTTPResponse object for the request, using http_class. http_class must implement the HTTPConnection API from http.client. """ host = req.host if not host: raise URLError('no host given') # will parse host:port h = http_class(host, timeout=req.timeout, **http_conn_args) h.set_debuglevel(self._debuglevel) headers = dict(req.unredirected_hdrs) headers.update(dict((k, v) for k, v in req.headers.items() if k not in headers)) # TODO(jhylton): Should this be redesigned to handle # persistent connections? # We want to make an HTTP/1.1 request, but the addinfourl # class isn't prepared to deal with a persistent connection. # It will try to read all remaining data from the socket, # which will block while the server waits for the next request. # So make sure the connection gets closed after the (only) # request. headers["Connection"] = "close" headers = dict((name.title(), val) for name, val in headers.items()) if req._tunnel_host: tunnel_headers = {} proxy_auth_hdr = "Proxy-Authorization" if proxy_auth_hdr in headers: tunnel_headers[proxy_auth_hdr] = headers[proxy_auth_hdr] # Proxy-Authorization should not be sent to origin # server. del headers[proxy_auth_hdr] h.set_tunnel(req._tunnel_host, headers=tunnel_headers) try: try: h.request(req.get_method(), req.selector, req.data, headers, encode_chunked=req.has_header('Transfer-encoding')) except OSError as err: # timeout error > raise URLError(err) E urllib.error.URLError: c:\program files\python36\lib\urllib\request.py:1320: URLError ------------------------------ Captured log call ------------------------------ WARNING root:version.py:19 The OGB package is out of date. Your version is 1.2.6, while the latest version is 1.3.3. ____________________________ test_as_linkpred_ogb _____________________________ self = http_class = req = , http_conn_args = {} host = 'snap.stanford.edu' h = def do_open(self, http_class, req, **http_conn_args): """Return an HTTPResponse object for the request, using http_class. http_class must implement the HTTPConnection API from http.client. """ host = req.host if not host: raise URLError('no host given') # will parse host:port h = http_class(host, timeout=req.timeout, **http_conn_args) h.set_debuglevel(self._debuglevel) headers = dict(req.unredirected_hdrs) headers.update(dict((k, v) for k, v in req.headers.items() if k not in headers)) # TODO(jhylton): Should this be redesigned to handle # persistent connections? # We want to make an HTTP/1.1 request, but the addinfourl # class isn't prepared to deal with a persistent connection. # It will try to read all remaining data from the socket, # which will block while the server waits for the next request. # So make sure the connection gets closed after the (only) # request. headers["Connection"] = "close" headers = dict((name.title(), val) for name, val in headers.items()) if req._tunnel_host: tunnel_headers = {} proxy_auth_hdr = "Proxy-Authorization" if proxy_auth_hdr in headers: tunnel_headers[proxy_auth_hdr] = headers[proxy_auth_hdr] # Proxy-Authorization should not be sent to origin # server. del headers[proxy_auth_hdr] h.set_tunnel(req._tunnel_host, headers=tunnel_headers) try: try: h.request(req.get_method(), req.selector, req.data, headers, > encode_chunked=req.has_header('Transfer-encoding')) c:\program files\python36\lib\urllib\request.py:1318: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , method = 'GET' url = '/ogb/data/linkproppred/collab.zip', body = None headers = {'Connection': 'close', 'Host': 'snap.stanford.edu', 'User-Agent': 'Python-urllib/3.6'} def request(self, method, url, body=None, headers={}, *, encode_chunked=False): """Send a complete request to the server.""" > self._send_request(method, url, body, headers, encode_chunked) c:\program files\python36\lib\http\client.py:1239: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = , method = 'GET' url = '/ogb/data/linkproppred/collab.zip', body = None headers = {'Connection': 'close', 'Host': 'snap.stanford.edu', 'User-Agent': 'Python-urllib/3.6'} encode_chunked = False def _send_request(self, method, url, body, headers, encode_chunked): # Honor explicitly requested Host: and Accept-Encoding: headers. header_names = frozenset(k.lower() for k in headers) skips = {} if 'host' in header_names: skips['skip_host'] = 1 if 'accept-encoding' in header_names: skips['skip_accept_encoding'] = 1 self.putrequest(method, url, **skips) # chunked encoding will happen if HTTP/1.1 is used and either # the caller passes encode_chunked=True or the following # conditions hold: # 1. content-length has not been explicitly set # 2. the body is a file or iterable, but not a str or bytes-like # 3. Transfer-Encoding has NOT been explicitly set by the caller if 'content-length' not in header_names: # only chunk body if not explicitly set for backwards # compatibility, assuming the client code is already handling the # chunking if 'transfer-encoding' not in header_names: # if content-length cannot be automatically determined, fall # back to chunked encoding encode_chunked = False content_length = self._get_content_length(body, method) if content_length is None: if body is not None: if self.debuglevel > 0: print('Unable to determine size of %r' % body) encode_chunked = True self.putheader('Transfer-Encoding', 'chunked') else: self.putheader('Content-Length', str(content_length)) else: encode_chunked = False for hdr, value in headers.items(): self.putheader(hdr, value) if isinstance(body, str): # RFC 2616 Section 3.7.1 says that text default has a # default charset of iso-8859-1. body = _encode(body, 'body') > self.endheaders(body, encode_chunked=encode_chunked) c:\program files\python36\lib\http\client.py:1285: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = message_body = None def endheaders(self, message_body=None, *, encode_chunked=False): """Indicate that the last header line has been sent to the server. This method sends the request to the server. The optional message_body argument can be used to pass a message body associated with the request. """ if self.__state == _CS_REQ_STARTED: self.__state = _CS_REQ_SENT else: raise CannotSendHeader() > self._send_output(message_body, encode_chunked=encode_chunked) c:\program files\python36\lib\http\client.py:1234: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = message_body = None, encode_chunked = False def _send_output(self, message_body=None, encode_chunked=False): """Send the currently buffered request and clear the buffer. Appends an extra \\r\\n to the buffer. A message_body may be specified, to be appended to the request. """ self._buffer.extend((b"", b"")) msg = b"\r\n".join(self._buffer) del self._buffer[:] > self.send(msg) c:\program files\python36\lib\http\client.py:1026: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = data = b'GET /ogb/data/linkproppred/collab.zip HTTP/1.1\r\nAccept-Encoding: identity\r\nHost: snap.stanford.edu\r\nUser-Agent: Python-urllib/3.6\r\nConnection: close\r\n\r\n' def send(self, data): """Send `data' to the server. ``data`` can be a string object, a bytes object, an array object, a file-like object that supports a .read() method, or an iterable object. """ if self.sock is None: if self.auto_open: > self.connect() c:\program files\python36\lib\http\client.py:964: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = def connect(self): """Connect to the host and port specified in __init__.""" self.sock = self._create_connection( > (self.host,self.port), self.timeout, self.source_address) c:\program files\python36\lib\http\client.py:936: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ address = ('snap.stanford.edu', 80) timeout = , source_address = None def create_connection(address, timeout=_GLOBAL_DEFAULT_TIMEOUT, source_address=None): """Connect to *address* and return the socket object. Convenience function. Connect to *address* (a 2-tuple ``(host, port)``) and return the socket object. Passing the optional *timeout* parameter will set the timeout on the socket instance before attempting to connect. If no *timeout* is supplied, the global default timeout setting returned by :func:`getdefaulttimeout` is used. If *source_address* is set it must be a tuple of (host, port) for the socket to bind as a source address before making the connection. A host of '' or port 0 tells the OS to use the default. """ host, port = address err = None for res in getaddrinfo(host, port, 0, SOCK_STREAM): af, socktype, proto, canonname, sa = res sock = None try: sock = socket(af, socktype, proto) if timeout is not _GLOBAL_DEFAULT_TIMEOUT: sock.settimeout(timeout) if source_address: sock.bind(source_address) sock.connect(sa) # Break explicitly a reference cycle err = None return sock except error as _: err = _ if sock is not None: sock.close() if err is not None: > raise err c:\program files\python36\lib\socket.py:724: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ address = ('snap.stanford.edu', 80) timeout = , source_address = None def create_connection(address, timeout=_GLOBAL_DEFAULT_TIMEOUT, source_address=None): """Connect to *address* and return the socket object. Convenience function. Connect to *address* (a 2-tuple ``(host, port)``) and return the socket object. Passing the optional *timeout* parameter will set the timeout on the socket instance before attempting to connect. If no *timeout* is supplied, the global default timeout setting returned by :func:`getdefaulttimeout` is used. If *source_address* is set it must be a tuple of (host, port) for the socket to bind as a source address before making the connection. A host of '' or port 0 tells the OS to use the default. """ host, port = address err = None for res in getaddrinfo(host, port, 0, SOCK_STREAM): af, socktype, proto, canonname, sa = res sock = None try: sock = socket(af, socktype, proto) if timeout is not _GLOBAL_DEFAULT_TIMEOUT: sock.settimeout(timeout) if source_address: sock.bind(source_address) > sock.connect(sa) E TimeoutError: [WinError 10060] A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond c:\program files\python36\lib\socket.py:713: TimeoutError During handling of the above exception, another exception occurred: @unittest.skipIf(dgl.backend.backend_name != 'pytorch', reason="ogb only supports pytorch") def test_as_linkpred_ogb(): from ogb.linkproppred import DglLinkPropPredDataset > ds = data.AsLinkPredDataset(DglLinkPropPredDataset("ogbl-collab"), split_ratio=None, verbose=True) tests\compute\test_data.py:1376: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ c:\program files\python36\lib\site-packages\ogb\linkproppred\dataset_dgl.py:68: in __init__ self.pre_process() c:\program files\python36\lib\site-packages\ogb\linkproppred\dataset_dgl.py:91: in pre_process if decide_download(url): c:\program files\python36\lib\site-packages\ogb\utils\url.py:12: in decide_download d = ur.urlopen(url) c:\program files\python36\lib\urllib\request.py:223: in urlopen return opener.open(url, data, timeout) c:\program files\python36\lib\urllib\request.py:526: in open response = self._open(req, data) c:\program files\python36\lib\urllib\request.py:544: in _open '_open', req) c:\program files\python36\lib\urllib\request.py:504: in _call_chain result = func(*args) c:\program files\python36\lib\urllib\request.py:1346: in http_open return self.do_open(http.client.HTTPConnection, req) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = http_class = req = , http_conn_args = {} host = 'snap.stanford.edu' h = def do_open(self, http_class, req, **http_conn_args): """Return an HTTPResponse object for the request, using http_class. http_class must implement the HTTPConnection API from http.client. """ host = req.host if not host: raise URLError('no host given') # will parse host:port h = http_class(host, timeout=req.timeout, **http_conn_args) h.set_debuglevel(self._debuglevel) headers = dict(req.unredirected_hdrs) headers.update(dict((k, v) for k, v in req.headers.items() if k not in headers)) # TODO(jhylton): Should this be redesigned to handle # persistent connections? # We want to make an HTTP/1.1 request, but the addinfourl # class isn't prepared to deal with a persistent connection. # It will try to read all remaining data from the socket, # which will block while the server waits for the next request. # So make sure the connection gets closed after the (only) # request. headers["Connection"] = "close" headers = dict((name.title(), val) for name, val in headers.items()) if req._tunnel_host: tunnel_headers = {} proxy_auth_hdr = "Proxy-Authorization" if proxy_auth_hdr in headers: tunnel_headers[proxy_auth_hdr] = headers[proxy_auth_hdr] # Proxy-Authorization should not be sent to origin # server. del headers[proxy_auth_hdr] h.set_tunnel(req._tunnel_host, headers=tunnel_headers) try: try: h.request(req.get_method(), req.selector, req.data, headers, encode_chunked=req.has_header('Transfer-encoding')) except OSError as err: # timeout error > raise URLError(err) E urllib.error.URLError: c:\program files\python36\lib\urllib\request.py:1320: URLError ============================== 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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@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: 26 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: 16 warnings 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-4085@2\python\dgl\data\citation_graph.py:291: 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-4085@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-4085@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-4085@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 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-4085@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-4085@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-4085@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-4085@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-4085@2\tests\compute\test_heterograph.py:1110: 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-4085@2\tests\compute\test_heterograph.py:1111: 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-4085@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-4085@2\python\dgl\backend\pytorch\tensor.py:279: 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-4085@2\python\dgl\backend\pytorch\tensor.py:575: 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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@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-4085@2\python\dgl\transforms\functional.py:1192: 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-4085@2\python\dgl\transforms\functional.py:1195: 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-4085@2\python\dgl\transforms\functional.py:1244: 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-4085@2\python\dgl\backend\pytorch\tensor.py:46: 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-4085@2\pytest_compute.xml -- =========================== short test summary info =========================== FAILED tests/compute/test_data.py::test_as_nodepred_ogb - urllib.error.URLErr... FAILED tests/compute/test_data.py::test_as_linkpred_ogb - urllib.error.URLErr... ==== 2 failed, 2379 passed, 42 skipped, 354 warnings in 580.11s (0:09:40) ===== Converting to homogeneous graph takes 0.019s, peak mem: 3.457 GB Convert a graph into a bidirected graph: 0.017 seconds, peak memory: 3.457 GB Construct multi-constraint weights: 0.002 seconds, peak memory: 3.457 GB [22:29:43] /root/jenkins/workspace/dgl_PR-4085/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 4 parts and get 175226 edge cuts Metis partitioning: 0.185 seconds, peak memory: 3.457 GB Assigning nodes to METIS partitions takes 0.206s, peak mem: 3.457 GB Reshuffle nodes and edges: 0.022 seconds Split the graph: 0.066 seconds Construct subgraphs: 0.124 seconds Splitting the graph into partitions takes 0.213s, peak mem: 3.457 GB part 0 has 10000 nodes of type n1 and 2575 are inside the partition part 0 has 9877 nodes of type n2 and 2577 are inside the partition part 0 has 9909 nodes of type n3 and 2580 are inside the partition part 0 has 92451 edges of type r1 and 26067 are inside the partition part 0 has 40928 edges of type r2 and 25763 are inside the partition part 0 has 40812 edges of type r3 and 25831 are inside the partition part 1 has 10000 nodes of type n1 and 2573 are inside the partition part 1 has 9892 nodes of type n2 and 2576 are inside the partition part 1 has 9911 nodes of type n3 and 2580 are inside the partition part 1 has 92730 edges of type r1 and 25669 are inside the partition part 1 has 40808 edges of type r2 and 25742 are inside the partition part 1 has 40922 edges of type r3 and 25956 are inside the partition part 2 has 10000 nodes of type n1 and 2278 are inside the partition part 2 has 9794 nodes of type n2 and 2282 are inside the partition part 2 has 9778 nodes of type n3 and 2280 are inside the partition part 2 has 89153 edges of type r1 and 22677 are inside the partition part 2 has 36230 edges of type r2 and 22774 are inside the partition part 2 has 36197 edges of type r3 and 22685 are inside the partition part 3 has 10000 nodes of type n1 and 2574 are inside the partition part 3 has 9884 nodes of type n2 and 2575 are inside the partition part 3 has 9908 nodes of type n3 and 2580 are inside the partition part 3 has 92499 edges of type r1 and 25687 are inside the partition part 3 has 40947 edges of type r2 and 25921 are inside the partition part 3 has 40830 edges of type r3 and 25828 are inside the partition Save partitions: 0.056 seconds, peak memory: 3.457 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] [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU (Win64) Example test) Stage "Torch CPU (Win64) Example test" skipped due to earlier failure(s) [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-gpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_unit_test.sh mxnet gpu Requirement already satisfied: pytest in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (7.0.1) Collecting psutil Downloading psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) Converting to homogeneous graph takes 0.006s, peak mem: 3.517 GB Convert a graph into a bidirected graph: 0.004 seconds, peak memory: 3.517 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 3.517 GB [22:29:47] /root/jenkins/workspace/dgl_PR-4085/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 10000 nodes and 199872 edges into 4 parts and get 56450 edge cuts Metis partitioning: 0.045 seconds, peak memory: 3.517 GB Assigning nodes to METIS partitions takes 0.050s, peak mem: 3.517 GB Reshuffle nodes and edges: 0.006 seconds Split the graph: 0.026 seconds Construct subgraphs: 0.059 seconds Splitting the graph into partitions takes 0.091s, peak mem: 3.517 GB part 0 has 10000 nodes and 2501 are inside the partition part 0 has 91503 edges and 24948 are inside the partition part 1 has 10000 nodes and 2499 are inside the partition part 1 has 91358 edges and 24923 are inside the partition part 2 has 10000 nodes and 2500 are inside the partition part 2 has 90993 edges and 25018 are inside the partition part 3 has 10000 nodes and 2500 are inside the partition part 3 has 91387 edges and 25111 are inside the partition Save partitions: 0.016 seconds, peak memory: 3.517 GB There are 100000 edges in the graph and 0 edge cuts for 4 partitions. Collecting pyyaml Downloading PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (603 kB) Collecting pandas Using cached pandas-1.1.5-cp36-cp36m-manylinux1_x86_64.whl (9.5 MB) Collecting pydantic Downloading pydantic-1.9.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.2 MB) PASSED [ 11%] tests/distributed/test_dist_graph_store.py::test_split_even Collecting rdflib Downloading rdflib-5.0.0-py3-none-any.whl (231 kB) Collecting ogb Downloading ogb-1.3.3-py3-none-any.whl (78 kB) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (21.4.0) Requirement already satisfied: packaging in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (21.3) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.11.0) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.0.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.2.3) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (4.8.3) Requirement already satisfied: iniconfig in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.1.1) Collecting pytz>=2017.2 Downloading pytz-2022.1-py2.py3-none-any.whl (503 kB) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pandas) (1.19.5) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pandas) (2.8.2) Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pydantic) (4.1.1) Collecting dataclasses>=0.6 Using cached dataclasses-0.8-py3-none-any.whl (19 kB) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: pyparsing in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from rdflib) (3.0.7) Requirement already satisfied: six in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from rdflib) (1.16.0) Collecting scikit-learn>=0.20.0 Using cached scikit_learn-0.24.2-cp36-cp36m-manylinux2010_x86_64.whl (22.2 MB) Collecting outdated>=0.2.0 Using cached outdated-0.2.1-py3-none-any.whl (7.5 kB) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from ogb) (4.62.3) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from ogb) (1.26.8) [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } Client [17448] waits on 172.17.0.4:35747 Machine (0) group (0) client (0) connect to server successfuly! [22:29:49] /root/jenkins/workspace/dgl_PR-4085/src/runtime/semaphore_wrapper.cc:78: sem_timedwait timed out after 500 milliseconds. [22:29:49] /root/jenkins/workspace/dgl_PR-4085/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [22:29:49] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. [Pipeline] // stage [Pipeline] } Failed in branch Torch CPU (Win64) Collecting torch>=1.6.0 Downloading torch-1.10.2-cp36-cp36m-manylinux1_x86_64.whl (881.9 MB) [22:29:50] /root/jenkins/workspace/dgl_PR-4085/src/runtime/semaphore_wrapper.cc:78: sem_timedwait timed out after 500 milliseconds. [22:29:50] /root/jenkins/workspace/dgl_PR-4085/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [22:29:50] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. [22:29:51] /root/jenkins/workspace/dgl_PR-4085/src/runtime/semaphore_wrapper.cc:78: sem_timedwait timed out after 500 milliseconds. [22:29:51] /root/jenkins/workspace/dgl_PR-4085/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [22:29:51] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Converting to homogeneous graph takes 0.006s, peak mem: 3.517 GB Convert a graph into a bidirected graph: 0.004 seconds, peak memory: 3.517 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 3.517 GB [22:29:51] /root/jenkins/workspace/dgl_PR-4085/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 10000 nodes and 199872 edges into 4 parts and get 56366 edge cuts Metis partitioning: 0.045 seconds, peak memory: 3.517 GB Assigning nodes to METIS partitions takes 0.050s, peak mem: 3.517 GB Reshuffle nodes and edges: 0.006 seconds Split the graph: 0.026 seconds Construct subgraphs: 0.058 seconds Splitting the graph into partitions takes 0.090s, peak mem: 3.517 GB part 0 has 10000 nodes and 2500 are inside the partition part 0 has 91002 edges and 24922 are inside the partition part 1 has 10000 nodes and 2500 are inside the partition part 1 has 91059 edges and 24872 are inside the partition part 2 has 10000 nodes and 2500 are inside the partition part 2 has 91299 edges and 25110 are inside the partition part 3 has 9999 nodes and 2500 are inside the partition part 3 has 91443 edges and 25096 are inside the partition Save partitions: 0.020 seconds, peak memory: 3.517 GB There are 100000 edges in the graph and 0 edge cuts for 4 partitions. part 0 get 1741 nodes and 1733 are in the partition intersection has 1741 part 0 get 17255 edges and 17104 are in the partition intersection has 17255 part 1 get 1740 nodes and 1740 are in the partition intersection has 1740 part 1 get 17255 edges and 17118 are in the partition intersection has 17255 part 2 get 1740 nodes and 1715 are in the partition intersection has 1740 part 2 get 17255 edges and 17188 are in the partition intersection has 17255 part 3 get 1740 nodes and 1720 are in the partition intersection has 1740 part 3 get 17255 edges and 17255 are in the partition intersection has 17255 PASSED [ 13%] tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[1] SKIPPED [ 15%] tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[2] SKIPPED [ 16%] tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[1] SKIPPED [ 18%] tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[2] SKIPPED [ 20%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling SKIPPED [ 22%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[1] SKIPPED [ 24%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[2] SKIPPED [ 26%] tests/distributed/test_distributed_sampling.py::test_standalone_sampling NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.002s, peak mem: 3.517 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.008 seconds, peak memory: 3.517 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 0.002s, peak mem: 3.517 GB Save partitions: 0.023 seconds, peak memory: 3.517 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 28%] tests/distributed/test_distributed_sampling.py::test_rpc_in_subgraph NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.002s, peak mem: 3.517 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 3.517 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 3.517 GB [22:29:52] /root/jenkins/workspace/dgl_PR-4085/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: 3.517 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 3.517 GB Reshuffle nodes and edges: 0.002 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.008s, peak mem: 3.517 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: 0.010 seconds, peak memory: 3.517 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. [22:29:53] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:29:54] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:29:54] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. load test_in_subgraph start graph service on server 0 for part 0 [22:29:54] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:29:54] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.6:14968]... [22:29:54] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:29:54] /root/jenkins/workspace/dgl_PR-4085/src/runtime/semaphore_wrapper.cc:78: sem_timedwait timed out after 500 milliseconds. [22:29:54] /root/jenkins/workspace/dgl_PR-4085/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [22:29:54] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client[0] in group[0] is exiting... load test_in_subgraph start graph service on server 1 for part 1 [22:29:55] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:29:55] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.6:14970]... Server (0) shutdown. Server is exiting... PASSED [ 71%] tests/distributed/test_rpc.py::test_rpc_timeout[tensorpipe] [22:29:58] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:29:58] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. 2022-06-21 22:29:58.929990: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:29:58.930019: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:29:58.930033: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:29:58.930254: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:29:58.942214: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:29:58.942237: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:29:58.942249: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:29:58.942441: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:29:58.949358: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:29:58.950680: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x557d320f9080 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:29:58.950704: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:29:58.953805: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:29:58.955143: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5600b9acffc0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:29:58.955173: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version Sleep 1 seconds to test client re-connect. [22:29:59] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:29:59] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:29:59] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:15697]. Start server 0 [22:30:00] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:00] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.4:15697]... [22:30:00] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:15697]. Client [24271] waits on 172.17.0.6:47013 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 30%] tests/distributed/test_distributed_sampling.py::test_standalone_etype_sampling SKIPPED [ 32%] tests/distributed/test_mp_dataloader.py::test_standalone SKIPPED (On...) [ 33%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-0-3] SKIPPED [ 35%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-4-3] SKIPPED [ 37%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-0-3] SKIPPED [ 39%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-4-3] SKIPPED [ 41%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-0-3] SKIPPED [ 43%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-4-3] SKIPPED [ 45%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-0-3] SKIPPED [ 47%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-4-3] SKIPPED [ 49%] tests/distributed/test_mp_dataloader.py::test_dataloader[node-0-3] SKIPPED [ 50%] tests/distributed/test_mp_dataloader.py::test_dataloader[node-4-3] SKIPPED [ 52%] tests/distributed/test_mp_dataloader.py::test_dataloader[edge-0-3] SKIPPED [ 54%] tests/distributed/test_mp_dataloader.py::test_dataloader[edge-4-3] SKIPPED [ 56%] tests/distributed/test_mp_dataloader.py::test_neg_dataloader[0-3] SKIPPED [ 58%] tests/distributed/test_mp_dataloader.py::test_neg_dataloader[4-3] SKIPPED [ 60%] tests/distributed/test_new_kvstore.py::test_partition_policy PASSED [ 62%] tests/distributed/test_new_kvstore.py::test_kv_store 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) Requirement already satisfied: scipy>=0.19.1 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.5.4) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2.0.12) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2021.5.30) Installing collected packages: threadpoolctl, pytz, littleutils, dataclasses, torch, scikit-learn, pandas, outdated, isodate, rdflib, pyyaml, pydantic, psutil, ogb [22:30:02] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:02] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:02] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:02] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:02] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:32989]. Client [17766] waits on 172.17.0.4:32989 /root/jenkins/workspace/dgl_PR-4085@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)`' [22:30:03] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:03] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4085@4/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' /root/jenkins/workspace/dgl_PR-4085@4/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' /root/jenkins/workspace/dgl_PR-4085@4/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' Sleep 5 seconds to test client re-connect. Sleep 5 seconds to test client re-connect. [22:30:03] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:03] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Machine (0) group (0) client (0) connect to server successfuly! [22:30:06] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/./queue.h:43: Times out for popping message after 500 milliseconds. [22:30:06] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. [22:30:07] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/./queue.h:43: Times out for popping message after 500 milliseconds. [22:30:07] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. [22:30:07] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/./queue.h:43: Times out for popping message after 500 milliseconds. [22:30:07] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. [22:30:08] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:08] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.6:20888]... [22:30:08] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:08] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.6:20889]... [22:30:11] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/./queue.h:43: Times out for popping message after 500 milliseconds. [22:30:11] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client[0] in group[0] is exiting... Client [24521] waits on 172.17.0.6:34989 Client [24530] waits on 172.17.0.6:53471 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! ['data_0', 'data_1', 'data_2', 'data_0_2', 'data_0_3', 'data_0_1'] ['data_0_3', 'data_0_2', 'data_0', 'data_1', 'data_0_1', 'data_2'] add... Server (0) shutdown. Server is exiting... PASSED [ 73%] tests/distributed/test_rpc.py::test_serialize PASSED [ 75%] tests/distributed/test_rpc.py::test_rpc_msg PASSED [ 77%] tests/distributed/test_rpc.py::test_rpc[tensorpipe] add... Client[1] in group[0] is exiting... Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 64%] tests/distributed/test_new_kvstore.py::test_kv_multi_role [22:30:15] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:15] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. 2022-06-21 22:30:15.381382: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:15.381410: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:15.381425: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:15.381646: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:15.382043: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:15.382073: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:15.382085: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:15.382262: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:15.388923: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:15.390259: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55d0ad9d4fc0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:15.390285: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:15.405841: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:15.407129: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x564fc9ca21c0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:15.407147: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version [22:30:16] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:16] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:16] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:16] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. Sleep 1 seconds to test client re-connect. [22:30:16] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:16] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:16] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:19672]. /root/jenkins/workspace/dgl_PR-4085@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)`' [22:30:16] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:16] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.6:20873]... /root/jenkins/workspace/dgl_PR-4085@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)`' [22:30:16] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:16] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.6:20874]... /root/jenkins/workspace/dgl_PR-4085@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)`' [22:30:16] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:16] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4085@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)`' [22:30:16] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:16] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Start server 0 [22:30:17] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:17] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.4:19672]... [22:30:17] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:19672]. [22:30:18] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:18] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:18] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:18] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:18] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:18] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:18] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:18] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:18] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:18] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:19] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:19] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:19] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:37083]. Client [18088] waits on 172.17.0.4:37083 Client [24825] waits on 172.17.0.6:59551 Client [25106] waits on 172.17.0.6:43943 Client [25136] waits on 172.17.0.6:42971 Client [25097] waits on 172.17.0.6:33283 Client [24834] waits on 172.17.0.6:37819 Client [25127] waits on 172.17.0.6:48665 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! 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 (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 79%] tests/distributed/test_rpc.py::test_multi_client[socket] Successfully installed dataclasses-0.8 isodate-0.6.1 littleutils-0.2.2 ogb-1.3.3 outdated-0.2.1 pandas-1.1.5 psutil-5.9.1 pydantic-1.9.1 pytz-2022.1 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-4085 collecting ... [[22:30:24] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc22:30:24:] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc43:: Could not open file: 43/root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory: . This does not affect DGL's but might impact its performance.Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:24] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [[22:30:24] 22:30:24/root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc] :/root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:4343: : Could not open file: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory/root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance.. This does not affect DGL's but might impact its performance. [22:30:24] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:24] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:24] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:24] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:24] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [[22:30:24] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc22:30:24:] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: 43/root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory: . This does not affect DGL's but might impact its performance.Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:24] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:24] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:24] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:24] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:24] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [[22:30:24] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc22:30:24:] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: 43/root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory: . This does not affect DGL's but might impact its performance.Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:24] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:24] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. 2022-06-21 22:30:24.531847: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.531867: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.531878: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.531890: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.531897: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.531902: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.532128: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.532128: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.539638: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.540895: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55af2c950080 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.540920: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.543237: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.543263: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.543278: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.543512: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.550679: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.551992: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x555783490500 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.552019: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.557070: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.557097: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.557112: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.557147: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.557169: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.557180: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.557346: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.557388: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.557808: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.557812: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.557830: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.557844: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.558052: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.559187: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.559211: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.559225: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.559275: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x563bfca87500 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.559301: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.559477: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.565415: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.566071: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.566222: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.566757: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x557f35f987c0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.566790: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.567421: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55e88ff45520 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.567446: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.567523: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x561fe76a71e0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.567545: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.567840: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.568920: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.568938: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.568951: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.569090: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55dfc5f12310 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.569114: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.569165: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.578281: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.579482: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5604a454c080 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.579509: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.579579: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.579599: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.579613: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.579835: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.590326: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.591510: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55a69c68c520 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.591536: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.599188: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.599216: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.599233: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.599471: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.606642: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.606834: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.606856: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.606871: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.606906: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.606925: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.606936: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.607094: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.607134: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.607141: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.607153: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.607166: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.607359: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.607917: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.607917: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55b035fcbfc0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.607934: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.607942: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.607947: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.608133: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.614231: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.614836: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.615429: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55a87d1483f0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.615459: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.615620: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.615633: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.616050: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55b880663080 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.616073: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.616923: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5645f2ab4fc0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.616945: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.616959: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x564a5aa21080 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.616984: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.635335: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.635334: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.635366: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.635371: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.635380: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.635383: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.635596: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.635597: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.642512: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.642595: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.643996: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55e937a537c0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.643993: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x563f9eb951c0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.644019: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.644028: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.655632: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.655657: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.655670: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.655898: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.660520: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.660545: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.660558: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.660775: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.661135: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.661155: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.661166: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.661359: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.662957: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.664072: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55c516133310 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.664095: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.667653: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.668854: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x555d1b1f3080 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.668878: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.669034: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.670349: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5633fe9e5fc0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.670371: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.678294: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.678319: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.678331: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.678549: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.685422: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.686668: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55e48a887fc0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.686705: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:24.699895: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:24.699924: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:24.699938: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:24.700162: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:24.707115: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:24.708339: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x564c5d939520 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:24.708363: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [[22:30:2522:30:25] ] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc/root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc::159: 140Receiver with NetType~: socketSender with NetType~ is created.socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:25] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Start server 0 [22:30:26] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:26] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.4:18524]... [22:30:27] /root/jenkins/workspace/dgl_PR-4085/src/runtime/semaphore_wrapper.cc:78: sem_timedwait timed out after 5000 milliseconds. [22:30:27] /root/jenkins/workspace/dgl_PR-4085/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 5000 milliseconds. [22:30:27] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 5000 ms. Retrying ... i: 0 role: default trainer rank: 1, global rank: 1 i: 1 role: default Client[5] in group[0] is exiting... trainer rank: 0, global rank: 0 Client[1] in group[0] is exiting... Client[4] in group[0] is exiting... Client[0] in group[0] is exiting... Client[2] in group[0] is exiting... Client[3] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 66%] tests/distributed/test_partition.py::test_partition Converting to homogeneous graph takes 0.002s, peak mem: 3.517 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 3.517 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 3.517 GB [22:30:29] /root/jenkins/workspace/dgl_PR-4085/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: 3.517 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 3.517 GB Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 3.517 GB Calculate edge assignment: 0.000 seconds part 0 has 342 nodes and 250 are inside the partition part 0 has 335 edges and 270 are inside the partition part 1 has 327 nodes and 250 are inside the partition part 1 has 305 edges and 244 are inside the partition part 2 has 337 nodes and 250 are inside the partition part 2 has 319 edges and 257 are inside the partition part 3 has 340 nodes and 250 are inside the partition part 3 has 297 edges and 229 are inside the partition Save partitions: 0.004 seconds, peak memory: 3.517 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 3.517 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 3.517 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 3.517 GB [22:30:29] /root/jenkins/workspace/dgl_PR-4085/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: 3.517 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 3.517 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.008 seconds Splitting the graph into partitions takes 0.010s, peak mem: 3.517 GB part 0 has 342 nodes and 250 are inside the partition part 0 has 335 edges and 270 are inside the partition part 1 has 327 nodes and 250 are inside the partition part 1 has 305 edges and 244 are inside the partition part 2 has 337 nodes and 250 are inside the partition part 2 has 319 edges and 257 are inside the partition part 3 has 340 nodes and 250 are inside the partition part 3 has 297 edges and 229 are inside the partition Save partitions: 0.004 seconds, peak memory: 3.517 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 3.517 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 3.517 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 3.517 GB [22:30:29] /root/jenkins/workspace/dgl_PR-4085/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1000 nodes and 1997 edges into 32 parts and get 264 edge cuts Metis partitioning: 0.003 seconds, peak memory: 3.517 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 3.517 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.008 seconds Splitting the graph into partitions takes 0.010s, peak mem: 3.517 GB part 0 has 367 nodes and 251 are inside the partition part 0 has 358 edges and 267 are inside the partition part 1 has 363 nodes and 250 are inside the partition part 1 has 341 edges and 264 are inside the partition part 2 has 360 nodes and 249 are inside the partition part 2 has 320 edges and 237 are inside the partition part 3 has 377 nodes and 250 are inside the partition part 3 has 322 edges and 232 are inside the partition Save partitions: 0.004 seconds, peak memory: 3.517 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 3.517 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 3.517 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 3.517 GB [22:30:29] /root/jenkins/workspace/dgl_PR-4085/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: 3.517 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 3.517 GB Save partitions: 0.001 seconds, peak memory: 3.517 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 3.517 GB Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 3.517 GB Calculate edge assignment: 0.000 seconds part 0 has 610 nodes and 245 are inside the partition part 0 has 552 edges and 244 are inside the partition part 1 has 591 nodes and 230 are inside the partition part 1 has 541 edges and 235 are inside the partition part 2 has 636 nodes and 265 are inside the partition part 2 has 579 edges and 266 are inside the partition part 3 has 647 nodes and 260 are inside the partition part 3 has 599 edges and 255 are inside the partition Save partitions: 0.004 seconds, peak memory: 3.517 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 3.517 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.008 seconds Splitting the graph into partitions takes 0.010s, peak mem: 3.517 GB part 0 has 639 nodes and 260 are inside the partition part 0 has 580 edges and 263 are inside the partition part 1 has 637 nodes and 258 are inside the partition part 1 has 580 edges and 262 are inside the partition part 2 has 584 nodes and 239 are inside the partition part 2 has 520 edges and 229 are inside the partition part 3 has 608 nodes and 243 are inside the partition part 3 has 557 edges and 246 are inside the partition Save partitions: 0.004 seconds, peak memory: 3.517 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 3.517 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 3.517 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 3.517 GB [22:30:29] /root/jenkins/workspace/dgl_PR-4085/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: 3.517 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 3.517 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.008 seconds Splitting the graph into partitions takes 0.010s, peak mem: 3.517 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: 0.004 seconds, peak memory: 3.517 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 67%] tests/distributed/test_partition.py::test_hetero_partition Converting to homogeneous graph takes 0.002s, peak mem: 3.517 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 3.517 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 3.517 GB [22:30:29] /root/jenkins/workspace/dgl_PR-4085/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2999 nodes and 6000 edges into 2 parts and get 208 edge cuts Metis partitioning: 0.002 seconds, peak memory: 3.517 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 3.517 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.007s, peak mem: 3.517 GB part 0 has 1070 nodes of type item and 970 are inside the partition part 0 has 588 nodes of type user and 491 are inside the partition part 0 has 1579 edges of type like and 1475 are inside the partition part 1 has 1130 nodes of type item and 1029 are inside the partition part 1 has 603 nodes of type user and 509 are inside the partition part 1 has 1629 edges of type like and 1525 are inside the partition Save partitions: 0.004 seconds, peak memory: 3.517 GB There are 3000 edges in the graph and 0 edge cuts for 2 partitions. Converting to homogeneous graph takes 0.002s, peak mem: 3.517 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 3.517 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 3.517 GB [22:30:29] /root/jenkins/workspace/dgl_PR-4085/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2999 nodes and 6000 edges into 8 parts and get 467 edge cuts Metis partitioning: 0.005 seconds, peak memory: 3.517 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 3.517 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.007s, peak mem: 3.517 GB part 0 has 1143 nodes of type item and 1023 are inside the partition part 0 has 613 nodes of type user and 501 are inside the partition part 0 has 1692 edges of type like and 1560 are inside the partition part 1 has 1091 nodes of type item and 977 are inside the partition part 1 has 618 nodes of type user and 498 are inside the partition part 1 has 1565 edges of type like and 1440 are inside the partition Save partitions: 0.004 seconds, peak memory: 3.517 GB There are 3000 edges in the graph and 0 edge cuts for 2 partitions. Converting to homogeneous graph takes 0.002s, peak mem: 3.517 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 3.517 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 3.517 GB [22:30:29] /root/jenkins/workspace/dgl_PR-4085/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 3030 nodes and 6120 edges into 4 parts and get 340 edge cuts Metis partitioning: 0.004 seconds, peak memory: 3.517 GB Assigning nodes to METIS partitions takes 0.005s, peak mem: 3.517 GB Reshuffle nodes and edges: 0.002 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.008 seconds Splitting the graph into partitions takes 0.011s, peak mem: 3.517 GB part 0 has 310 nodes of type n1 and 257 are inside the partition part 0 has 323 nodes of type n2 and 260 are inside the partition part 0 has 314 nodes of type n3 and 262 are inside the partition part 0 has 301 edges of type r1 and 271 are inside the partition part 0 has 279 edges of type r2 and 253 are inside the partition part 0 has 298 edges of type r3 and 270 are inside the partition part 1 has 287 nodes of type n1 and 231 are inside the partition part 1 has 291 nodes of type n2 and 233 are inside the partition part 1 has 298 nodes of type n3 and 245 are inside the partition part 1 has 259 edges of type r1 and 224 are inside the partition part 1 has 278 edges of type r2 and 249 are inside the partition part 1 has 265 edges of type r3 and 239 are inside the partition part 2 has 323 nodes of type n1 and 256 are inside the partition part 2 has 314 nodes of type n2 and 260 are inside the partition part 2 has 305 nodes of type n3 and 261 are inside the partition part 2 has 274 edges of type r1 and 253 are inside the partition part 2 has 306 edges of type r2 and 285 are inside the partition part 2 has 304 edges of type r3 and 278 are inside the partition part 3 has 293 nodes of type n1 and 256 are inside the partition part 3 has 308 nodes of type n2 and 257 are inside the partition part 3 has 316 nodes of type n3 and 252 are inside the partition part 3 has 294 edges of type r1 and 262 are inside the partition part 3 has 264 edges of type r2 and 233 are inside the partition part 3 has 278 edges of type r3 and 243 are inside the partition Save partitions: 0.013 seconds, peak memory: 3.517 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 0.003s, peak mem: 3.517 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 3.517 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 3.517 GB [22:30:30] /root/jenkins/workspace/dgl_PR-4085/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: 3.517 GB Assigning nodes to METIS partitions takes 0.011s, peak mem: 3.517 GB Save partitions: 0.003 seconds, peak memory: 3.517 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 0.003s, peak mem: 3.517 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 3.517 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 3.517 GB [22:30:30] /root/jenkins/workspace/dgl_PR-4085/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: 0.023 seconds, peak memory: 3.517 GB Assigning nodes to METIS partitions takes 0.027s, peak mem: 3.517 GB Reshuffle nodes and edges: 0.002 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.008 seconds Splitting the graph into partitions takes 0.011s, peak mem: 3.517 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: 0.014 seconds, peak memory: 3.517 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 0.003s, peak mem: 3.517 GB Reshuffle nodes and edges: 0.002 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.008 seconds Splitting the graph into partitions takes 0.012s, peak mem: 3.517 GB part 0 has 542 nodes of type n1 and 262 are inside the partition part 0 has 542 nodes of type n2 and 250 are inside the partition part 0 has 523 nodes of type n3 and 221 are inside the partition part 0 has 435 edges of type r1 and 265 are inside the partition part 0 has 421 edges of type r2 and 219 are inside the partition part 0 has 438 edges of type r3 and 242 are inside the partition part 1 has 510 nodes of type n1 and 240 are inside the partition part 1 has 520 nodes of type n2 and 237 are inside the partition part 1 has 534 nodes of type n3 and 233 are inside the partition part 1 has 427 edges of type r1 and 209 are inside the partition part 1 has 421 edges of type r2 and 241 are inside the partition part 1 has 394 edges of type r3 and 200 are inside the partition part 2 has 560 nodes of type n1 and 240 are inside the partition part 2 has 553 nodes of type n2 and 251 are inside the partition part 2 has 559 nodes of type n3 and 280 are inside the partition part 2 has 414 edges of type r1 and 245 are inside the partition part 2 has 467 edges of type r2 and 297 are inside the partition part 2 has 486 edges of type r3 and 291 are inside the partition part 3 has 565 nodes of type n1 and 258 are inside the partition part 3 has 576 nodes of type n2 and 272 are inside the partition part 3 has 605 nodes of type n3 and 286 are inside the partition part 3 has 483 edges of type r1 and 291 are inside the partition part 3 has 459 edges of type r2 and 263 are inside the partition part 3 has 501 edges of type r3 and 297 are inside the partition Save partitions: 0.014 seconds, peak memory: 3.517 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 0.003s, peak mem: 3.517 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 3.517 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 3.517 GB [22:30:30] /root/jenkins/workspace/dgl_PR-4085/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: 0.023 seconds, peak memory: 3.517 GB Assigning nodes to METIS partitions takes 0.027s, peak mem: 3.517 GB Reshuffle nodes and edges: 0.002 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.008 seconds Splitting the graph into partitions takes 0.011s, peak mem: 3.517 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: 0.014 seconds, peak memory: 3.517 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 [ 69%] tests/distributed/test_rpc.py::test_rpc_timeout[socket] Client [18414] waits on 172.17.0.4:57101 Client [18423] waits on 172.17.0.4:60347 Client [18404] waits on 172.17.0.4:53815 Client [18405] waits on 172.17.0.4:38541 Client [18411] waits on 172.17.0.4:38379 Client [18418] waits on 172.17.0.4:37631 Client [18422] waits on 172.17.0.4:36985 Client [18421] waits on 172.17.0.4:33173 Client [18420] waits on 172.17.0.4:35531 Client [18407] waits on 172.17.0.4:35595 Client [18413] waits on 172.17.0.4:39283 Client [18409] waits on 172.17.0.4:39767 Client [18406] waits on 172.17.0.4:40883 Client [18416] waits on 172.17.0.4:43607 Client [18415] waits on 172.17.0.4:45013 Client [18410] waits on 172.17.0.4:45393 Client [18412] waits on 172.17.0.4:49465 Client [18419] waits on 172.17.0.4:50215 Client [18417] waits on 172.17.0.4:46425 Client [18408] waits on 172.17.0.4:50703 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (7) 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 (8) 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 (15) connect to server successfuly! Machine (0) group (0) client (16) connect to server successfuly! Machine (0) group (0) client (13) connect to server successfuly! Machine (0) group (0) client (14) connect to server successfuly! Machine (0) group (0) client (17) connect to server successfuly! Machine (0) group (0) client (19) connect to server successfuly! Machine (0) group (0) client (18) connect to server successfuly! Machine (0) group (0) client (10) connect to server successfuly! [22:30:32] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:32] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:33] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:33] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. collected 2425 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] Client[8] in group[0] is exiting... Client[0] in group[0] is exiting... Client[7] in group[0] is exiting... Client[18] in group[0] is exiting... Client[13] in group[0] is exiting... Client[15] in group[0] is exiting... Client[1] in group[0] is exiting... Client[16] in group[0] is exiting... Client[12] in group[0] is exiting... Client[17] in group[0] is exiting... Client[11] in group[0] is exiting... Client[9] in group[0] is exiting... Client[4] in group[0] is exiting... Client[19] in group[0] is exiting... Client[14] in group[0] is exiting... Client[2] in group[0] is exiting... Client[6] in group[0] is exiting... Client[5] in group[0] is exiting... Client[10] in group[0] is exiting... Client[3] in group[0] is exiting... Server (0) shutdown. Server is exiting... 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] Start server 0 [22:30:34] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:34] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.6:22485]... 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 [ 4%] 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[int32-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int32-dst-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-dst-g0] SKIPPED [ 6%] tests/compute/test_ffi.py::test_cython PASSED [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 81%] tests/distributed/test_rpc.py::test_multi_client[tensorpipe] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[int32] PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[int64] PASSED [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph SKIPPED (GPU rando...) [ 6%] tests/compute/test_graph.py::test_query [[22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc22:30:36:] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: 43/root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory: . This does not affect DGL's but might impact its performance.Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [[22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc22:30:36:] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: 43/root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory: . This does not affect DGL's but might impact its performance.Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [[22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc43:: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory43. This does not affect DGL's but might impact its performance.: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. 2022-06-21 22:30:36.276370: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.276370: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.276403: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.276409: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.276443: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.276448: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.276676: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.276676: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.294924: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.294955: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.294970: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.294977: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.294999: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.295011: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.295203: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.295228: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.296428: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.296449: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.296462: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.296680: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.301887: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.301891: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.302447: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.302449: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.302471: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.302489: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.302502: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.302730: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.303090: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.303109: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.303121: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.303330: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.303346: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55b52f1437c0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.303370: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.303364: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55cf2840c600 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.303389: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.303930: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5580b2dbe080 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.303954: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.303960: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x558e7e57c520 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.303985: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.304233: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.305469: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x555f6944ffc0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.305490: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.310134: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.311081: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.311346: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55eb658a43f0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.311370: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.312298: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55606c44d3f0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.312322: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.317701: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.317724: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.317752: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.317981: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.330305: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.331541: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5646343405d0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.331568: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.334000: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.334021: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.334036: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.334260: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.339511: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.339534: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.339546: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.339760: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.342431: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.343684: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x563952749500 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.343707: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.346624: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.347840: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x564082adb3f0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.347863: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.348374: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.348393: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.348406: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.348624: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.348871: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.348890: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.348902: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.349105: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.351902: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.351921: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.351933: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.352134: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.358263: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.359481: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55b872acd1c0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.359505: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.359778: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.360990: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x556b72501600 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.361013: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.362030: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.363288: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5616623a51e0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.363311: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.364435: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.364452: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.364465: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.364670: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.380257: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.380285: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.380300: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.380519: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.380829: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.380850: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.380869: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.381057: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.381537: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.382785: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x560fa3d581e0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.382808: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.388205: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.389386: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55d13f727fc0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.389409: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.389503: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.390669: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x556659b26520 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.390692: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.393672: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.393690: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.393702: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.393962: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.402271: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.403409: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.403409: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x560499139600 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.403427: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.403431: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.403442: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.403659: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.410559: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.411720: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55ab353b3520 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.411747: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.412230: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.412255: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.412267: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.412488: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.419674: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.419699: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.419711: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.419924: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.421115: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.422281: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55c0948113f0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.422302: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.426528: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.427721: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55675297e080 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.427744: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:36.443996: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:36.444025: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:36.444038: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:36.444270: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:36.451336: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:36.452608: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5579d3dae1c0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:36.452635: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 6%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 6%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 6%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[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] [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. Sleep 1 seconds to test client re-connect. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:36] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. PASSED [ 7%] tests/compute/test_heterograph.py::test_query[int64] [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26360]. 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] Start server 0 [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.4:26360]... [22:30:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:26360]. 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 [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[int32] SKIPPED (...) [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[int64] SKIPPED (...) [ 8%] tests/compute/test_heterograph.py::test_convert_bound[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[int32] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[int64] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[int32] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[int64] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_subgraph[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[int64] Client [25455] waits on 172.17.0.6:60105 Machine (0) group (0) client (0) connect to server successfuly! [22:30:39] /root/jenkins/workspace/dgl_PR-4085/src/runtime/semaphore_wrapper.cc:78: sem_timedwait timed out after 500 milliseconds. [22:30:39] /root/jenkins/workspace/dgl_PR-4085/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [22:30:39] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_float_cast PASSED [ 9%] tests/compute/test_heterograph.py::test_format[int32] [22:30:39] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:34281]. Client [21689] waits on 172.17.0.4:34281 [22:30:39] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:43373]. Client [21684] waits on 172.17.0.4:43373 [22:30:39] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:34109]. Client [21688] waits on 172.17.0.4:34109 [22:30:39] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:42863]. Client [21692] waits on 172.17.0.4:42863 [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:59989]. Client [21691] waits on 172.17.0.4:59989 [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:58697]. Client [21693] waits on 172.17.0.4:58697 [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:46309]. Client [21690] waits on 172.17.0.4:46309 [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:47275]. Client [21695] waits on 172.17.0.4:47275 [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:59295]. Client [21687] waits on 172.17.0.4:59295 [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:40107]. Client [21694] waits on 172.17.0.4:40107 [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:58575]. Client [21686] waits on 172.17.0.4:58575 [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:42299]. Client [21685] waits on 172.17.0.4:42299 [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:59515]. Client [21698] waits on 172.17.0.4:59515 [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:38283]. Client [21696] waits on 172.17.0.4:38283 [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:36281]. Client [21697] waits on 172.17.0.4:36281 [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:52219]. Client [21699] waits on 172.17.0.4:52219 [[22:30:4022:30:40] ] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc/root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc::108108: : TPReceiver starts to wait on [TPReceiver starts to wait on [tcp://172.17.0.4:33033tcp://172.17.0.4:56273].]. Client [21700] waits on 172.17.0.4:33033 Client [21701] waits on 172.17.0.4:56273 PASSED [ 9%] tests/compute/test_heterograph.py::test_format[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_reverse[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[int32] [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:50977]. Client [21702] waits on 172.17.0.4:50977 [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:36753]. Client [21703] waits on 172.17.0.4:36753 PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[int32] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[int64] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int64] [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/runtime/semaphore_wrapper.cc:78: sem_timedwait timed out after 500 milliseconds. [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [22:30:40] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler SKIPPED (MXN...) [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce [22:30:41] /root/jenkins/workspace/dgl_PR-4085/src/runtime/semaphore_wrapper.cc:78: sem_timedwait timed out after 500 milliseconds. [22:30:41] /root/jenkins/workspace/dgl_PR-4085/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [22:30:41] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! 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 (7) connect to server successfuly! Machine (0) group (0) client (8) connect to server successfuly! Machine (0) group (0) client (9) connect to server successfuly! Machine (0) group (0) client (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 (13) 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 (16) connect to server successfuly! Machine (0) group (0) client (17) connect to server successfuly! Machine (0) group (0) client (18) connect to server successfuly! Machine (0) group (0) client (19) connect to server successfuly! [22:30:44] /root/jenkins/workspace/dgl_PR-4085/src/runtime/semaphore_wrapper.cc:78: sem_timedwait timed out after 500 milliseconds. [22:30:44] /root/jenkins/workspace/dgl_PR-4085/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [22:30:44] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client[0] in group[0] is exiting... Client[0] in group[0] is exiting... Client[3] in group[0] is exiting... Client[1] in group[0] is exiting... Client[4] in group[0] is exiting... Client[6] in group[0] is exiting... Client[2] in group[0] is exiting... Client[7] in group[0] is exiting... Client[8] in group[0] is exiting... Client[5] in group[0] is exiting... Client[12] in group[0] is exiting... Client[13] in group[0] is exiting... Client[17] in group[0] is exiting... Client[9] in group[0] is exiting... Client[11] in group[0] is exiting... Client[14] in group[0] is exiting... Client[15] in group[0] is exiting... Client[16] in group[0] is exiting... Client[10] in group[0] is exiting... Client[19] in group[0] is exiting... Client[18] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... PASSED [ 83%] tests/distributed/test_rpc.py::test_multi_thread_rpc[socket] PASSED [ 71%] tests/distributed/test_rpc.py::test_rpc_timeout[tensorpipe] [22:30:47] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:47] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:30:48] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:48] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:49] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:30:49] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. 2022-06-21 22:30:49.184637: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:49.184667: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:49.184683: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:49.184924: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:49.192653: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:49.192677: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:49.192691: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:49.192899: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:49.199604: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:49.200865: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x561654a8f520 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:49.200888: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:49.209839: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:49.211075: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x558e027e13f0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:49.211099: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version Sleep 1 seconds to test client re-connect. [22:30:49] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:49] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:49] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.6:21045]. Sleep 1 seconds to test client re-connect. Sleep 1 seconds to test client re-connect. Start server 1 [22:30:50] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:50] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.4:14568]... Start server 0 [22:30:50] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:30:50] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.4:14566]... Start server 0 [22:30:50] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:50] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.6:21045]... [22:30:50] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:21045]. 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_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 [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-int32] SKIPPED [ 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...) [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[int32] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[int64] PASSED [ 13%] tests/compute/test_pin_memory.py::test_pin_unpin PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[int32] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[int64] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[int32] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[int64] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[int32] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[int64] SKIPPED [ 13%] tests/compute/test_random.py::test_random_choice SKIPPED (GPU random...) [ 13%] tests/compute/test_readout.py::test_sum_case1[int32] PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-int32] 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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 [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-int32] PASSED [ 17%] 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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] [22:30:52] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:49319]. Client [25609] waits on 172.17.0.6:49319 PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-int64] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[int64] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[int32] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[int64] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[int32] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[int64] PASSED [ 20%] tests/compute/test_sampler.py::test_create_full PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_prefetch_neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler_all PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler PASSED [ 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 Machine (0) group (0) client (0) connect to server successfuly! [22:30:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/./queue.h:43: Times out for popping message after 500 milliseconds. [22:30:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. [22:30:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/./queue.h:43: Times out for popping message after 500 milliseconds. [22:30:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client [17278] waits on 172.17.0.4:44795 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 [ 84%] tests/distributed/test_rpc.py::test_multi_thread_rpc[tensorpipe] [22:30:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:30:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:30:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:21766]. [22:30:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/./queue.h:43: Times out for popping message after 500 milliseconds. [22:30:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. [[22:30:58] 22:30:58/root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc] :/root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: 43Could not open file: : /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directoryCould not open file: . This does not affect DGL's but might impact its performance./root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory . This does not affect DGL's but might impact its performance. 2022-06-21 22:30:58.645896: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:58.645896: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:30:58.645926: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:58.645934: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:30:58.645942: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:58.645951: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:30:58.646168: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:58.646169: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:30:58.669844: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:58.669844: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:30:58.671216: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5565d5814720 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:58.671226: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55f2a5d787c0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:30:58.671239: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:30:58.671249: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version Sleep 1 seconds to test client re-connect. Sleep 1 seconds to test client re-connect. [22:31:00] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:21766]. Start server 0 Start server 1 [22:31:00] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:00] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.4:21766]... [22:31:00] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:21766]. [22:31:00] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:00] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.4:21768]... [22:31:00] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:21768]. [22:31:01] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/./queue.h:43: Times out for popping message after 500 milliseconds. [22:31:01] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client[0] in group[0] is exiting... [22:31:03] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:57655]. Client [17278] waits on 172.17.0.4:57655 Server (0) shutdown. Server is exiting... PASSED [ 73%] tests/distributed/test_rpc.py::test_serialize PASSED [ 75%] tests/distributed/test_rpc.py::test_rpc_msg PASSED [ 77%] tests/distributed/test_rpc.py::test_rpc[tensorpipe] [22:31:05] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:05] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:06] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:06] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:06] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.6:26404]. Sleep 1 seconds to test client re-connect. 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 [ 86%] tests/distributed/test_rpc.py::test_multi_client_groups SKIPPED (Tes...) [ 88%] tests/distributed/test_rpc.py::test_multi_client_connect[socket] [22:31:06] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:06] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Start server 0 [22:31:07] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:07] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.6:26404]... [22:31:07] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:26404]. [22:31:09] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:45197]. Client [25768] waits on 172.17.0.6:45197 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'. [22:31:10] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:10] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. 2022-06-21 22:31:11.126304: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:31:11.126332: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:31:11.126346: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:31:11.126574: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:31:11.127774: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:31:11.127795: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:31:11.127807: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:31:11.127993: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:31:11.134778: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:31:11.136060: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x562dc2bf8730 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:31:11.136084: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:31:11.149839: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:31:11.151129: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5558d8f2f720 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:31:11.151150: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version Sleep 1 seconds to test client re-connect. [22:31:11] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:11] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Machine (0) group (0) client (0) connect to server successfuly! Start server 0 [22:31:12] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:12] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.4:12752]... Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 79%] tests/distributed/test_rpc.py::test_multi_client[socket] PASSED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk SKIPPED [ 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 SKIPPED (...) [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk SKIPPED (...) [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg SKIPPED [ 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_exclude_edges_heteroG[int32] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] SKIPPED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] SKIPPED [ 21%] 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 [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp1-g1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp2-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp2-g1] Client [25587] waits on 172.17.0.4:57697 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 22%] 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] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp5-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp4-g1] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp0-g1] PASSED [ 25%]PASSED [ 90%] tests/distributed/test_rpc.py::test_multi_client_connect[tensorpipe] [22:31:18] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:18] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:18] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26202]. Expected error: Failed to build conncetion with peer[172.17.0.4:26202] after 1 retries. Please check network availability or increase max try times via 'DGL_DIST_MAX_TRY_TIMES'. tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp0-g0] PASSED [ 25%] 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tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp4-g1] [22:31:20] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:20] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@2/build/tensoradapter/tensorflow/libtensoradapter_tensorflow_2.2.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp4-g1] PASSED [ 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] 2022-06-21 22:31:20.619398: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:31:20.619433: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:31:20.619449: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:31:20.619692: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:31:20.620042: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2022-06-21 22:31:20.620068: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2022-06-21 22:31:20.620094: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (4ccdb273468a): /proc/driver/nvidia/version does not exist 2022-06-21 22:31:20.620311: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-06-21 22:31:20.656845: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:31:20.657808: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2899985000 Hz 2022-06-21 22:31:20.659037: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55aab470b720 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:31:20.659061: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-06-21 22:31:20.663034: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x557020c2a720 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-06-21 22:31:20.663059: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp0-g1] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp1-g0] Sleep 1 seconds to test client re-connect. [22:31:21] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:21] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:21] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.4:26202]. PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp4-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 [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp4-g1] Start server 0 [22:31:22] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:22] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.4:26202]... [22:31:22] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.4:26202]. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp5-g0] PASSED [ 34%] 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Client [25901] waits on 172.17.0.4:38215 PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp3-g1] PASSED [ 37%] 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PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp2-g1] PASSED [ 44%] 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PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-e-shp0-g0] PASSED [ 45%] 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PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-v-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-v-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-v-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-v-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-v-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-v-shp2-g1] PASSED [ 46%] 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PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-e-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp3-g0] 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 [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp0-g0] PASSED [ 47%] 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PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp4-g1] PASSED [ 47%] 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%] 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PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp2-g1] 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp0-g0] PASSED [ 49%] 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This does not affect DGL's but might impact its performance. 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PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp4-g1] PASSED [ 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] 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] 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp1-g1] PASSED [ 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] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp2-g1] PASSED [ 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 [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp3-g1] PASSED [ 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%]Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... 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 [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp2-g1] PASSED [ 60%] 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] 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 [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp2-g1] PASSED [ 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 [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp2-g0] PASSED [ 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 [ 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 =============================== ../../../../opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py:15 /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py:15: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp python/dgl/heterograph.py:72 /root/jenkins/workspace/dgl_PR-4085@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/distributed/test_partition.py::test_partition /root/jenkins/workspace/dgl_PR-4085@2/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. " -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /root/jenkins/workspace/dgl_PR-4085@2/pytest_distributed.xml - ============ 15 passed, 38 skipped, 3 warnings in 131.58s (0:02:11) ============ PASSED [ 63%] 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 [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp1-g0] PASSED [ 64%] 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 [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp3-g0] PASSED [ 65%] 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] [Pipeline] } Sleep 1 seconds to test client re-connect. [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 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 [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp2-g0] PASSED [ 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%] 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PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-e-shp0-g1] Start server 0 [22:31:30] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:30] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.6:27091]... 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PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp4-g0] PASSED [ 80%] 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PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp0-g0] PASSED [ 83%] tests/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] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 4ccdb273468a999c74797d899228bf64b7461e3557fb63906e38d386606332f3 [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp4-g0] [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp3-g1] [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:31] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp4-g1] PASSED [ 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] [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-int32] SKIPPED [ 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] [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] [[22:31:3222:31:32] ] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc/root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc::140140: : Sender with NetType~Sender with NetType~socketsocket is created. is created. [[22:31:3222:31:32] ] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc[/root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc22:31:32::] 159159/root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc: : :Receiver with NetType~Receiver with NetType~socket140socket[ is created.: is created.[22:31:32 Sender with NetType~ 22:31:32] socket] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc is created./root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc: :140: 140Sender with NetType~: socketSender with NetType~[ is created.socket22:31:32 is created.] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: [Receiver with NetType~22:31:32socket[] is created.22:31:32/root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc ] :/root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc159:: 159Receiver with NetType~: socketReceiver with NetType~ is created.socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. $ docker rm -f 4ccdb273468a999c74797d899228bf64b7461e3557fb63906e38d386606332f3 PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[int64] [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:31:32] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] [Pipeline] // withDockerContainer [Pipeline] } PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[int32] SKIPPED (M...) [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[int64] SKIPPED (M...) [ 95%] tests/compute/test_subgraph.py::test_subgraph1[int32] [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int32-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int32-device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int64-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int64-device1] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[int32] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[int64] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[int32] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[int64] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[int32] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[int64] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected SKIPPED (GPU not...) [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph SKIPPED (GPU not ...) [ 96%] tests/compute/test_transform.py::test_khop_graph SKIPPED (GPU not im...) [ 96%] tests/compute/test_transform.py::test_khop_adj SKIPPED (GPU not impl...) [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max SKIPPED (...) [ 96%] tests/compute/test_transform.py::test_partition_with_halo SKIPPED (G...) [ 97%] tests/compute/test_transform.py::test_metis_partition[int32] SKIPPED [ 97%] tests/compute/test_transform.py::test_metis_partition[int64] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes SKIPPED (It does...) [ 97%] tests/compute/test_transform.py::test_compact[int32] PASSED [ 97%] tests/compute/test_transform.py::test_compact[int64] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[int32] SKIPPED (GPU ...) [ 97%] tests/compute/test_transform.py::test_to_simple[int64] SKIPPED (GPU ...) [ 97%] tests/compute/test_transform.py::test_to_block[int32] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[int32] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[int64] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[int64] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[int32] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[int64] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[int32] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[int64] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[int32] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[int64] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[int32] PASSED [ 98%] tests/compute/test_transform.py::test_norm_by_dst[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[int32] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_to_simple[int64] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_line_graph[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[int32] SKIPPED (Onl...) [ 98%] tests/compute/test_transform.py::test_module_ppr[int64] SKIPPED (Onl...) [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[int32] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[int64] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_gdc[int32] SKIPPED (Onl...) [ 99%] tests/compute/test_transform.py::test_module_gdc[int64] SKIPPED (Onl...) [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_node[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_add_edge[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] SKIPPED (Only ...) [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[int64] SKIPPED [ 99%] tests/compute/test_traversal.py::test_bfs[int32] PASSED [ 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-4085/python/dgl/backend/backend.py:1741: DeprecationWarning: invalid escape sequence \P """ tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 6 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4085/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-4085/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-4085/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-4085/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-4085/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-4085/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-4085/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-4085/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_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-4085/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-4085/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-4085/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-4085/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-4085/tests/compute/test_heterograph.py:1110: 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-4085/tests/compute/test_heterograph.py:1111: 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-4085/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-4085/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_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-4085/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-4085/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-4085/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-4085/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-4085/python/dgl/transforms/functional.py:1192: 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-4085/python/dgl/transforms/functional.py:1195: 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-4085/pytest_compute.xml -- ========== 2220 passed, 205 skipped, 489 warnings in 73.44s (0:01:13) ========== Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Client [25938] waits on 172.17.0.6:59381 Client [25920] waits on 172.17.0.6:57329 Client [26028] waits on 172.17.0.6:56711 Client [26010] waits on 172.17.0.6:55527 Client [25947] waits on 172.17.0.6:54357 Client [25992] waits on 172.17.0.6:54219 Client [25983] waits on 172.17.0.6:53633 Client [26019] waits on 172.17.0.6:53131 Client [26001] waits on 172.17.0.6:52983 Client [26073] waits on 172.17.0.6:41843 Client [26037] waits on 172.17.0.6:39865 Client [25956] waits on 172.17.0.6:38459 Client [26064] waits on 172.17.0.6:33153 Client [25974] waits on 172.17.0.6:35521 Client [26082] waits on 172.17.0.6:42869 Client [26046] waits on 172.17.0.6:42989 Client [26091] waits on 172.17.0.6:43715 Client [25929] waits on 172.17.0.6:44357 Client [26055] waits on 172.17.0.6:45865 Client [25965] waits on 172.17.0.6:47091 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! 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 (7) connect to server successfuly! Machine (0) group (0) client (9) connect to server successfuly! Machine (0) group (0) client (10) connect to server successfuly! Machine (0) group (0) client (11) connect to server successfuly! Machine (0) group (0) client (12) connect to server successfuly! Machine (0) group (0) client (13) 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 (16) connect to server successfuly! Machine (0) group (0) client (17) connect to server successfuly! Machine (0) group (0) client (18) connect to server successfuly! Machine (0) group (0) client (19) connect to server successfuly! Machine (0) group (0) client (8) connect to server successfuly! ============================= 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-4085 collecting ... Client[10] in group[0] is exiting... Client[6] in group[0] is exiting... Client[12] in group[0] is exiting... Client[9] in group[0] is exiting... Client[13] in group[0] is exiting... Client[14] in group[0] is exiting... Client[2] in group[0] is exiting... Client[5] in group[0] is exiting... Client[8] in group[0] is exiting... Client[19] in group[0] is exiting... Client[4] in group[0] is exiting... Client[16] in group[0] is exiting... Client[11] in group[0] is exiting... Client[1] in group[0] is exiting... Client[17] in group[0] is exiting... Client[7] in group[0] is exiting... Client[0] in group[0] is exiting... Client[18] in group[0] is exiting... Client[3] in group[0] is exiting... Client[15] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 81%] tests/distributed/test_rpc.py::test_multi_client[tensorpipe] 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] [22:31:48] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. 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-4085/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-4085/pytest_backend.xml -- ======================= 806 passed, 2 warnings in 13.08s ======================= Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: 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 ced76cb204f1fd6448de1570640b624e6ca7c8ec6e9dcfff70053eef0025c11e Sleep 1 seconds to test client re-connect. $ docker rm -f ced76cb204f1fd6448de1570640b624e6ca7c8ec6e9dcfff70053eef0025c11e Start server 0 [22:31:53] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:53] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.6:12939]... [22:31:53] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:12939]. [22:31:53] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } [22:31:54] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:55] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:55] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:55] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:55] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:55] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:39195]. Client [27486] waits on 172.17.0.6:39195 [22:31:55] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:52945]. Client [27495] waits on 172.17.0.6:52945 [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [[22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:22:31:56] 43/root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc: :Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory43. This does not affect DGL's but might impact its performance.: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:40205]. Client [27513] waits on 172.17.0.6:40205 [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:47943]. Client [27639] waits on 172.17.0.6:47943 [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:41171]. Client [27558] waits on 172.17.0.6:41171 [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:34227]. Client [27504] waits on 172.17.0.6:34227 [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:56] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:35919]. Client [27567] waits on 172.17.0.6:35919 [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:39487]. Client [27531] waits on 172.17.0.6:39487 [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:56715]. Client [27612] waits on 172.17.0.6:56715 [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:57831]. Client [27658] waits on 172.17.0.6:57831 [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:53827]. Client [27603] waits on 172.17.0.6:53827 [[22:31:5722:31:57] ] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc/root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc::108140: : TPReceiver starts to wait on [Sender with NetType~tcp://172.17.0.6:34447tensorpipe]. is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Client [27522] waits on 172.17.0.6:34447 [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:55977]. Client [27540] waits on 172.17.0.6:55977 [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:43757]. Client [27630] waits on 172.17.0.6:43757 [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:39413]. Client [27648] waits on 172.17.0.6:39413 [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:49199]. Client [27621] waits on 172.17.0.6:49199 [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:56947]. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:59433]. Client [27549] waits on 172.17.0.6:56947 Client [27585] waits on 172.17.0.6:59433 [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:39965]. Client [27576] waits on 172.17.0.6:39965 [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:31:57] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:49657]. Client [27594] waits on 172.17.0.6:49657 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (6) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (7) connect to server successfuly! Machine (0) group (0) client (9) connect to server successfuly! Machine (0) group (0) client (11) connect to server successfuly! Machine (0) group (0) client (8) 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 (14) connect to server successfuly! Machine (0) group (0) client (13) connect to server successfuly! Machine (0) group (0) client (17) connect to server successfuly! Machine (0) group (0) client (15) connect to server successfuly! Machine (0) group (0) client (16) connect to server successfuly! Machine (0) group (0) client (19) connect to server successfuly! Machine (0) group (0) client (18) connect to server successfuly! Client[1] in group[0] is exiting... Client[6] in group[0] is exiting... Client[0] in group[0] is exiting... Client[3] in group[0] is exiting... Client[2] in group[0] is exiting... Client[7] in group[0] is exiting... Client[4] in group[0] is exiting... Client[9] in group[0] is exiting... Client[12] in group[0] is exiting... Client[5] in group[0] is exiting... Client[17] in group[0] is exiting... Client[8] in group[0] is exiting... Client[14] in group[0] is exiting... Client[19] in group[0] is exiting... Client[13] in group[0] is exiting... Client[10] in group[0] is exiting... Client[15] in group[0] is exiting... Client[18] in group[0] is exiting... Client[16] in group[0] is exiting... Client[11] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 83%] tests/distributed/test_rpc.py::test_multi_thread_rpc[socket] [22:32:03] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:32:03] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [22:32:04] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:32:04] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. Sleep 1 seconds to test client re-connect. Sleep 1 seconds to test client re-connect. Start server 0 [22:32:06] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:32:06] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.6:11071]... Start server 1 [22:32:06] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:32:06] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.6:11073]... Client [24271] waits on 172.17.0.6:35857 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 [ 84%] tests/distributed/test_rpc.py::test_multi_thread_rpc[tensorpipe] [22:32:12] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:32:12] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:32:12] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.6:11897]. [22:32:14] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:32:14] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. Sleep 1 seconds to test client re-connect. Sleep 1 seconds to test client re-connect. [22:32:15] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.6:11897]. Start server 1 Start server 0 [22:32:15] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:32:15] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.6:11899]... [22:32:15] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:11899]. [22:32:15] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:32:15] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.6:11897]... [22:32:15] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:11897]. [22:32:18] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:42979]. Client [24271] waits on 172.17.0.6:42979 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 [ 86%] tests/distributed/test_rpc.py::test_multi_client_groups SKIPPED (Tes...) [ 88%] tests/distributed/test_rpc.py::test_multi_client_connect[socket] [22:32:22] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:32:22] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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'. [22:32:26] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:32:26] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. Sleep 1 seconds to test client re-connect. [22:32:27] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:32:27] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Start server 0 [22:32:28] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [22:32:28] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.6:29873]... Client [29341] waits on 172.17.0.6:44131 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 90%] tests/distributed/test_rpc.py::test_multi_client_connect[tensorpipe] [22:32:33] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:32:33] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:32:33] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.6:17921]. Expected error: Failed to build conncetion with peer[172.17.0.6:17921] after 1 retries. Please check network availability or increase max try times via 'DGL_DIST_MAX_TRY_TIMES'. [22:32:35] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. [22:32:35] /root/jenkins/workspace/dgl_PR-4085/src/runtime/tensordispatch.cc:43: Could not open file: /root/jenkins/workspace/dgl_PR-4085@4/build/tensoradapter/mxnet/libtensoradapter_mxnet_1.6.0.so: cannot open shared object file: No such file or directory. This does not affect DGL's but might impact its performance. Sleep 1 seconds to test client re-connect. [22:32:36] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:32:36] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [22:32:36] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.6:17921]. Start server 0 [22:32:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [22:32:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.6:17921]... [22:32:37] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:17921]. [22:32:39] /root/jenkins/workspace/dgl_PR-4085/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.6:48103]. Client [29491] waits on 172.17.0.6:48103 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 92%] tests/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/heterograph.py:72 /root/jenkins/workspace/dgl_PR-4085@4/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/distributed/test_distributed_sampling.py::test_standalone_sampling tests/distributed/test_partition.py::test_partition /root/jenkins/workspace/dgl_PR-4085@4/python/dgl/distributed/partition.py:578: DGLWarning: The argument reshuffle will be deprecated in the next release. For heterogeneous graphs, reshuffle must be enabled. dgl_warning("The argument reshuffle will be deprecated in the next release. " tests/distributed/test_distributed_sampling.py::test_rpc_in_subgraph /root/jenkins/workspace/dgl_PR-4085@4/python/dgl/heterograph.py:6145: 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' -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /root/jenkins/workspace/dgl_PR-4085@4/pytest_distributed.xml - ============ 21 passed, 32 skipped, 4 warnings in 192.36s (0:03:12) ============ [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 3952b8f066eb6882fbe5cc4dfd634f5b46d2b97a468da1c83b80e59072f51ec5 $ docker rm -f 3952b8f066eb6882fbe5cc4dfd634f5b46d2b97a468da1c83b80e59072f51ec5 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] // parallel [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Declarative: Post Actions) [Pipeline] script [Pipeline] { [Pipeline] node Running on dglci-post-linux in /home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4085 [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-awscli:v220418 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dglci-post-linux does not seem to be running inside a container $ docker run -t -d -u 0:0 --pull always --entrypoint= -w /home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4085 -v /home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4085:/home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4085:rw,z -v /home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4085@tmp:/home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4085@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-awscli:v220418 cat $ docker top 63b49089d463198546f235ab1e7ab6782446a487f15e6672ec6bde0b29ca9737 -eo pid,comm [Pipeline] { [Pipeline] sh + rm -rf ci_tmp [Pipeline] dir Running in /home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4085/ci_tmp [Pipeline] { [Pipeline] sh + curl -o cireport.log http://dgl-jenkins-eksvpc-2136217999.us-west-2.elb.amazonaws.com/job/dgl/job/PR-4085/5/consoleText % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed